Subjects -> INSTRUMENTS (Total: 63 journals)
Showing 1 - 16 of 16 Journals sorted by number of followers
International Journal of Remote Sensing     Hybrid Journal   (Followers: 161)
IEEE Sensors Journal     Hybrid Journal   (Followers: 119)
Remote Sensing of Environment     Hybrid Journal   (Followers: 96)
Journal of Applied Remote Sensing     Hybrid Journal   (Followers: 87)
Modern Instrumentation     Open Access   (Followers: 58)
Remote Sensing     Open Access   (Followers: 57)
International Journal of Remote Sensing Applications     Open Access   (Followers: 48)
International Journal of Instrumentation Science     Open Access   (Followers: 42)
Experimental Astronomy     Hybrid Journal   (Followers: 39)
Measurement and Control     Open Access   (Followers: 36)
Photogrammetric Engineering & Remote Sensing     Full-text available via subscription   (Followers: 34)
Journal of Instrumentation     Hybrid Journal   (Followers: 32)
Remote Sensing Science     Open Access   (Followers: 30)
Applied Mechanics Reviews     Full-text available via subscription   (Followers: 27)
Review of Scientific Instruments     Hybrid Journal   (Followers: 20)
European Journal of Remote Sensing     Open Access   (Followers: 17)
Videoscopy     Full-text available via subscription   (Followers: 15)
Flow Measurement and Instrumentation     Hybrid Journal   (Followers: 15)
Transactions of the Institute of Measurement and Control     Hybrid Journal   (Followers: 12)
Journal of Sensors and Sensor Systems     Open Access   (Followers: 11)
Remote Sensing Applications : Society and Environment     Full-text available via subscription   (Followers: 9)
Instrumentation Science & Technology     Hybrid Journal   (Followers: 8)
International Journal of Applied Mechanics     Hybrid Journal   (Followers: 8)
Imaging & Microscopy     Hybrid Journal   (Followers: 7)
Microscopy     Hybrid Journal   (Followers: 7)
Metrology and Measurement Systems     Open Access   (Followers: 7)
Science of Remote Sensing     Open Access   (Followers: 7)
Optoelectronics, Instrumentation and Data Processing     Hybrid Journal   (Followers: 6)
International Journal of Metrology and Quality Engineering     Full-text available via subscription   (Followers: 5)
Measurement : Sensors     Open Access   (Followers: 5)
PFG : Journal of Photogrammetry, Remote Sensing and Geoinformation Science     Hybrid Journal   (Followers: 5)
Computational Visual Media     Open Access   (Followers: 5)
Journal of Medical Devices     Full-text available via subscription   (Followers: 4)
Sensors and Materials     Open Access   (Followers: 4)
IEEE Sensors Letters     Hybrid Journal   (Followers: 4)
Journal of Astronomical Instrumentation     Open Access   (Followers: 4)
Journal of Optical Technology     Full-text available via subscription   (Followers: 4)
IEEE Journal on Miniaturization for Air and Space Systems     Hybrid Journal   (Followers: 3)
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems)     Open Access   (Followers: 3)
Sensors International     Open Access   (Followers: 3)
Solid State Nuclear Magnetic Resonance     Hybrid Journal   (Followers: 3)
Measurement Techniques     Hybrid Journal   (Followers: 3)
Journal of Instrumentation Technology & Innovations     Full-text available via subscription   (Followers: 3)
International Journal of Sensor Networks     Hybrid Journal   (Followers: 2)
International Journal of Measurement Technologies and Instrumentation Engineering     Full-text available via subscription   (Followers: 2)
Geoscientific Instrumentation, Methods and Data Systems     Open Access   (Followers: 2)
International Journal of Testing     Hybrid Journal   (Followers: 1)
Medical Devices & Sensors     Hybrid Journal   (Followers: 1)
Instruments and Experimental Techniques     Hybrid Journal   (Followers: 1)
Geoscientific Instrumentation, Methods and Data Systems Discussions     Open Access   (Followers: 1)
Journal of Research of NIST     Open Access   (Followers: 1)
Journal of Vacuum Science & Technology B     Hybrid Journal   (Followers: 1)
Invention Disclosure     Open Access   (Followers: 1)
Metrology and Instruments / Метрологія та прилади     Open Access  
Measurement Instruments for the Social Sciences     Open Access  
Труды СПИИРАН     Open Access  
Standards     Open Access  
Jurnal Informatika Upgris     Open Access  
InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan     Open Access  
Devices and Methods of Measurements     Open Access  
EPJ Techniques and Instrumentation     Open Access  
Journal of Medical Signals and Sensors     Open Access  
Documenta & Instrumenta - Documenta et Instrumenta     Open Access  
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Journal Cover
Measurement and Control
Journal Prestige (SJR): 0.137
Number of Followers: 36  

  This is an Open Access Journal Open Access journal
ISSN (Print) 0020-2940 - ISSN (Online) 2051-8730
Published by Sage Publications Homepage  [1174 journals]
  • Research on co-design of dual security control and communication for
           nonlinear CPS with actuator fault and FDI attacks

    • Authors: Li Zhao, Wei Li, YaJie Li
      Abstract: Measurement and Control, Ahead of Print.
      In this study, a co-design method of dual security control and communication is investigated for a nonlinear cyber–physical system (CPS) with an actuator fault and false data injection (FDI) attacks. First, under the discrete event trigger communication scheme, considering the different effects of actuator fault and FDI attacks on a double-end network, a dual security control strategy with active fault-tolerance and active–passive attack-tolerance is proposed. It can accommodate an actuator fault, actively compensate an actuator FDI attack, and passively resist a sensor FDI attack, respectively, thereby establishing a new dual security control framework with fault-tolerance and attack-tolerance. Moreover, the Takagi–Sugeno (T-S) fuzzy model for the nonlinear CPS is established under this framework. Second, by constructing an appropriate Lyapunov–Krasovskii functional and introducing the time-delay theory and the affine Bessel–Legendre inequality, lesser conservative design methods of a robust augmented observer for the estimation of the state, FDI attacks, and fault as well as a dual security controller are obtained. Finally, a classical quadruple-tank model is used to show the validity and feasibility of the proposed method.
      Citation: Measurement and Control
      PubDate: 2022-08-08T09:31:35Z
      DOI: 10.1177/00202940221092101
       
  • Research on MPDPC with FADRC control strategy for three-phase rectifying
           converter

    • Authors: Yulian Zhao, Hemiao Liu, Chao Ding, Yanming Cheng, Mahmoud AM AL Shurafa, Jing Wu, Ilkyoo Lee, Jing Niu, Zhongwei Wang, Lu Yao
      Abstract: Measurement and Control, Ahead of Print.
      Due to unpredictable factors, the model predictive direct power control (MPDPC) exists weak robustness when the parameters change of three-phase rectifying converter. Therefore, this paper introduced Fractional Active Disturbance Rejection Control (FADRC) into the MPDPC system to improve the robustness of rectifying converter, that is, the power loop of PID controller in conventional model predictive control is replaced by FADRC. In order to verify the effectiveness of the proposed control strategy in this paper, a model of three-phase rectifying converter is established in MATLAB, and the simulation is conducted. Compared with the control effects of the MPDPC with PID (MPDPC-PID) control strategy and MPDPC with Linear Active Disturbance Rejection Control (MPDPC-LADRC) under different operational scenarios, the simulation results demonstrate that the MPDPC with FADRC (MPDPC- FADRC) strategy has best disturbance rejection capability, robustness and rapidity, and it can significantly reduce the voltage fluctuation of DC bus. This study can provide a valuable guidance and reference for the design of the efficient and stable three-phase rectifying converter.
      Citation: Measurement and Control
      PubDate: 2022-08-06T10:16:47Z
      DOI: 10.1177/00202940221110927
       
  • 3D Digital protection and representation of burial ruins based on LiDAR
           and UAV survey

    • Authors: Ming Guo, Zexin Fu, Deng Pan, Yuquan Zhou, Ming Huang, Kecai Guo
      Abstract: Measurement and Control, Ahead of Print.
      To improve the efficiency and accuracy of digital protection of burial sites, the digital protection of burial sites was studied by the collaborative observation technology of LiDAR and unmanned aerial vehicle (UAV) mapping. Multi-feature constrained iterative global registration algorithm is used to realize fast registration of multi-site cloud, the Structure from motion (SFM)-based algorithm is used to generate dense point cloud from UAV image, and then the Iterative Closest Point(ICP) algorithm is used to realize the fusion of point cloud data on-site and image. According to the fused data, a variety of measurable results, such as high-precision burial model and contour map, are produced, and an orthophoto generation system is written independently, which can fully automatically generate high-precision orthophoto map and realize the digitalization of the burial sites. Taking the protection application of the burial site in Yaoheyuan, Ningxia, one of the top 10 archeological discoveries in China in 2017, with guaranteed data accuracy and integrity, the surveying and mapping data of the tomb site was obtained quickly. The global registration accuracy of the proposed algorithm is within 1 cm, and the registration efficiency was superior to the current mainstream open source algorithm, which verified the feasibility and efficiency of this method. It provides an effective scheme for the digital protection of burial cultural heritage, and is also suitable for the digital protection of other heritage sites in the World Heritage List such as Panlongcheng Site and Sanxingdui.
      Citation: Measurement and Control
      PubDate: 2022-08-05T10:39:36Z
      DOI: 10.1177/00202940221110949
       
  • A global extended extreme learning machine combined with electronic nose
           for identifying tea gas information

    • Authors: Chao Wang, Jizheng Yang, Qing Wu
      Abstract: Measurement and Control, Ahead of Print.
      To enhance the detection performance of electronic nose (e-nose), a recognition method of gas feature based on a global extended extreme learning machine (GEELM) is proposed, which combines the expansion factor and global balance coefficient to expand and balance the difference between categories, and improve the classification performance. Then this method is applied to identify the quality of tea. Firstly, the dragging factor and following matrix are introduced to increase the distance between classes. Secondly, the global identification coefficient is introduced further to increase the feature differences among different types of tea, and improve the classification stability. Finally, under different feature sets, the classification performance of multi-pattern recognition methods is compared to prove the effectiveness of GEELM in e-nose gas feature recognition. The results show that GEELM has the best classification accuracy of 98.20%, F1-score of 0.9871, and Kappa coefficient of 0.9775. In conclusion, GEELM can be an effective technique to identify gas features, and it also provides a new method for tea quality measurement.
      Citation: Measurement and Control
      PubDate: 2022-08-05T10:37:56Z
      DOI: 10.1177/00202940221090973
       
  • Aerial photography trajectory-tracking controller design for quadrotor UAV

    • Authors: Min Xiao, Jing Liang, Li Ji, Zheng Sun, ZeYu Li
      Abstract: Measurement and Control, Ahead of Print.
      Quad-rotor unmanned aerial vehicles (UAV) are prone to external interference during aerial photography of farmland environments. For example, they are affected by external airflow and load, resulting in route deviation and irregular image overlap, which seriously affects image quality. An aerial trajectory tracking controller is designed for this aerial photography process. To ensure that a drone can fly according to the established route during the aerial photography process and meet the requirements of large-scale topographic map stereo mapping for the flight control accuracy of the drone platform, the system was divided into a full-drive subsystem and an underactuated subsystem. The full-drive subsystem uses a fast terminal sliding mode controller to ensure that the variable ([math]) reaches the desired value. The under-actuated subsystem adopts the second-order sliding mode control was used to achieve effective position and attitude tracking of variables ([math]). The flight controllers are derived by using Lyapunov theory. Finally, with the aerial trajectory of a farmland taken as an example, the flight path control of the UAV is simulated. Simulation results show that the designed control system can be applied to the aerial photography process of the UAV and has strong anti-system parameter perturbation, robustness and good trajectory tracking.
      Citation: Measurement and Control
      PubDate: 2022-08-05T10:32:32Z
      DOI: 10.1177/00202940221115634
       
  • On experiments of a novel unsupervised deep learning based rotor balancing
           method

    • Authors: Liqing Li, Shun Zhong, Huizheng Chen, Zhenyong Lu
      Abstract: Measurement and Control, Ahead of Print.
      Rotor dynamic balancing is essential in rotor industrial. The conventional balancing methods, including the influence coefficients method and modal balancing method, are effective, but lack economy and sufficient usage of the data. To overcome the disadvantages of the conventional balancing methods, a balancing method using unsupervised deep learning without weight trails had been proposed. The proposed network could identify the unbalanced forces from the data observed from just one run of the rotor and without labels. To validate the novel balancing method, an experimental rig is well-designed and established. Experimental validation and comparison with influence coefficients method are conducted. The experimental results show that the proposed balancing method gives consideration to both cost and accuracy. Compared with influence coefficients method, no extra weight trail process is needed and balancing performances are comparative. The experimental rig can be used for proving the scheme and for further same kind of research.
      Citation: Measurement and Control
      PubDate: 2022-08-04T12:38:05Z
      DOI: 10.1177/00202940221115744
       
  • Genetic algorithm based active fault-tolerant control system for air fuel
           ratio control of internal combustion engines

    • Authors: Muhammad Sajid Iqbal, Arslan Ahmed Amin
      Abstract: Measurement and Control, Ahead of Print.
      Internal Combustion (IC) engines are commonly used in the process industry, and proper Air-Fuel Ratio (AFR) regulation in their fuel system is essential for improved engine performance, fuel efficiency, and environmental protection. Since faults in the sensors of the AFR system cause the engine to shut down, fault tolerance is essentially required for them. In this paper, an advanced Active Fault-Tolerant Control System (AFTCS) for AFR control of an IC engine is proposed to prevent the engine shutdown. For analytical redundancy, the proposed AFTCS uses the Genetic Algorithm (GA) based observer model in the Fault Detection and Isolation (FDI) unit to generate estimated value for the faulty sensors using the values of other healthy sensors. The proposed framework was simulated in the MATLAB/Simulink environment to verify its effectiveness. In comparison to previous literature works, the results show that the AFR control system has superior fault tolerance output for sensor faults, especially for the MAP sensor, in terms of less oscillatory response. Finally, a comparison of the proposed GA-based AFTCS was carried out with the existing literature works and its superior performance was elaborated.
      Citation: Measurement and Control
      PubDate: 2022-08-04T12:33:44Z
      DOI: 10.1177/00202940221115233
       
  • Magnetic anomaly of long track detection method based on wavelet combining
           with fractal for high speed maglev transit

    • Authors: Yunzhou Zhang, Chuang Chao, Jun Wu, Yuxin Zhang, Xiaobo Hong
      Abstract: Measurement and Control, Ahead of Print.
      A scheme of detecting magnetic field anomaly is proposed to find local short circuit faults in long stator cores of high speed maglev transit. And a composite magnetic anomaly signal processing method is designed based on wavelet with fractal, screening out a little anomalous data from massive data. First, suspicious data are quickly recognized by applying multiple fractal spectra, then being confirmed by wavelet modulus maxima calculation. The experiment results show that the method is immune to the fluctuation of 8–12 mm suspension gap and its hit rate can be improved by more than 66%.
      Citation: Measurement and Control
      PubDate: 2022-08-04T12:31:57Z
      DOI: 10.1177/00202940221115198
       
  • Radiating power tracking based on fractional order sliding mode controller

    • Authors: Xuan Gou, Chun Yin, Kai Chen, Zengzeng Wang, Peng Wang, Houjun Wang
      Abstract: Measurement and Control, Ahead of Print.
      The radiating power with sine waveform is required for modulated infrared thermography nondestructive testing. Sine voltage was applied by former authors for deriving sine power waveform. The theory mode of infrared lamp is proposed. According to numerical solution and FFT analysis, high frequency components are included in the radiating power waveform, when sine voltage is set to drive the lamp. A light intensity sensor was utilized for monitoring the real-time radiating power, and a close-loop power tracking system was constructed. Fractional order sliding mode controller was selected in the tracking system, for its robustness and flexibility property. The reachability of the controller is proved and the calculation formulas of reach time are given. In experiment, the tracking results with both PID and sliding mode controller were derived. Lower tracking overshoot and better robustness was derived through the sliding mode controller, compared with the PID counterpart.
      Citation: Measurement and Control
      PubDate: 2022-08-04T12:28:56Z
      DOI: 10.1177/00202940221115194
       
  • Adaptive fuzzy finite-time control with prescribed performance for
           waverider vehicles

    • Authors: Baoxu Jiang, Xiangwei Bu
      Abstract: Measurement and Control, Ahead of Print.
      This paper proposes an adaptive fuzzy control method with prescribed performance for Waverider Vehicles (WVs), being able to guarantee finite-time convergence and small overshoot for tracking errors. Firstly, we design a new type of performance function that is independent of the initial error, and possess finite-time convergence and small overshoot. Then, we transform the inequality constraints on tracking errors into an unconstrained equation by introducing a transformed error. On this basis, we design a prescribed performance control (PPC) approach to limit the tracking errors within prescribed funnels utilizing the transformed error and fuzzy approximation, which ensures that satisfactory transient performance and steady-state accuracy can be guaranteed for tracking errors. Compared with the existing PPC, the improvement is to assure finite-time convergence of tracking errors with almost zero overshoot. Finally, compared simulations are given to verify the advantage.
      Citation: Measurement and Control
      PubDate: 2022-08-03T11:02:31Z
      DOI: 10.1177/00202940221114893
       
  • Output feedback sliding mode control based on adaptive sliding mode
           disturbance observer

    • Authors: Chen Yunjun, Jiang Chao, Dong Jiuzhi, Zhao Zhanshan
      Abstract: Measurement and Control, Ahead of Print.
      In this paper, an adaptive sliding mode disturbance observer is designed to counteract the disturbance actively. By designing the adaptive laws, the assumptions on the disturbance are relaxed in the proposed observer, its first derivative upper bound is considered to be unknown. Based on the proposed disturbance observer, an output feedback sliding mode controller is constructed for the continuous-time linear systems with unknown external disturbance. The proposed controller incorporates only the system output information and has less chattering of the control input. The feasibility of the proposed strategy is shown by numerical simulations.
      Citation: Measurement and Control
      PubDate: 2022-07-30T11:24:04Z
      DOI: 10.1177/00202940221114491
       
  • Response adjustable performance of a visco-elastomer sandwich plate with
           

    • Authors: Zhi-Gang Ruan, Zu-Guang Ying, Yi-Qing Ni
      Abstract: Measurement and Control, Ahead of Print.
      Vibration control of composite structures with distributed masses under random loadings is a significant issue. Adjustability of dynamic characteristics including response spectrum peaks and valleys is important for structural vibration control. The vibration control design in space contains structure and conformation designs which combination results in periodic composite structures. In the present paper, spatial periodicity control design is proposed. Stochastic response adjustable performance of a visco-elastomer sandwich plate with harmonic distribution of geometrical and physical parameters and distributed supported masses under random base motion loading is studied. Both facial layer thickness and core layer modulus of the sandwich plate are considered as harmonic distribution in length and width directions as well as periodically distributed masses. Partial differential equations of coupling motions of the sandwich plate system are derived and converted into ordinary differential equations for multi-mode coupling vibration. Generalized stiffness, damping, and mass coefficients are functions of the harmonic distribution parameters. An analysis solution with frequency response function and response spectral density expressions of the sandwich plate system is obtained. Numerical results are given to show the response adjustable performance through the harmonic geometrical and physical parameters and distributed masses. The results have a potential application to stochastic vibration control or dynamic optimization design of smart composite structure systems.
      Citation: Measurement and Control
      PubDate: 2022-07-28T11:48:02Z
      DOI: 10.1177/00202940221105086
       
  • Face recognition and real-time tracking system based on convolutional
           neural network and parallel-cascade PID controller

    • Authors: Teh-Lu Liao, Hsin-Chieh Chen, Qing-Huang Song, Yi-You Hou
      Abstract: Measurement and Control, Ahead of Print.
      The purpose of this research is to develop a high-efficiency, low-cost, and easy-to-use tracking system for vehicles, and it is expected that the system can be extended to areas such as service robots, autonomous driving, and manufacturing. In this paper, we introduced an object detection algorithm based on convolutional neural networks to realize face recognition, which has better efficiency and robustness than traditional machine learning methods. With the concept of edge computing, we deployed the model on the local embedded system to improve the information transmission and security issues of cloud computing. In order to realize the tracking system, this paper builds a mecanum-wheel vehicle with omnidirectional mobility, and proposes a parallel-cascade PID controller architecture based on the mecanum-wheel vehicle. The fixed distance linear tracking control can be realized through the dual-loop feedback control of distance and yaw angle; moreover, the vehicle slipping which is caused by difference rotation speed can be improved. Finally, through algorithm optimization, controller parameter adjustment, and system integration, an omnidirectional mobile vehicle with recognition and tracking functions is realized. The experiment results indicate that the system is stable and robust during actual operation.
      Citation: Measurement and Control
      PubDate: 2022-07-28T11:46:45Z
      DOI: 10.1177/00202940221089237
       
  • Construction of real-time deviation electric quantity control model for
           regional electricity spot market

    • Authors: Dongge Zhu, Rui Ma, Xuwei Xia, Shuang Zhang, Jia Liu
      Abstract: Measurement and Control, Ahead of Print.
      Aiming at the problems of poor control accuracy and long time consuming in traditional deviation electric quantity control methods, a real-time deviation electric quantity control model design for regional electricity spot market is proposed. Through the base electric quantity, generation side electric quantity and consumption side electric quantity, the electricity market assessment and settlement results are obtained. The Monte Carlo method is used to simulate the generation of user-side load scenarios and the corresponding scenario probability, set electric quantity assessment and settlement constraints, verify the actual total electric quantity consumption of all users in the current month, the actual total interactive electric quantity and the actual total exchange market electricity, and obtain the actual total base electric quantity of the current month. Calculate the difference between the actual electric quantity and the planned electric quantity, determine the allowable range of real-time control deviation electric quantity, and use the rolling compensation method to control the electric quantity consumption side. The experimental results show that the proposed model has an error of only 1% for real-time deviation electric quantity control in the regional electricity spot market, and the control time is short.
      Citation: Measurement and Control
      PubDate: 2022-07-27T12:59:23Z
      DOI: 10.1177/00202940221113589
       
  • Smart solutions for monitoring, control, and safety of swimming pools
           using a savvy boat

    • Authors: Saeed A Asiri
      Abstract: Measurement and Control, Ahead of Print.
      The Internet of Things has evolved as one of the most promising evolutional technologies, and it is gradually being recognized as a quotidian life necessity. It is based on the interconnection of several devices with the goal of simplifying everyday operations through monitoring, remote control, or the creation of smart environments with the goal of reducing the need for human interaction. This paper proposes the application of IoT concept with a savvy boat for monitoring and controlling the quality of swimming pools through a low-cost system based on wireless sensors and actuators which can minimize the number of people needed to maintain a swimming pool. This is very important issue since the improper use of fresh water in daily activities is nowadays a major concern, as well as the need to keep records of water quality in intended to notify the user about potential risk situations. The major goal of this system is to give financial and natural resource savings to the end user, resulting in a more sustainable environment. An Android mobile application was created to allow users to remotely monitor and manage the parameters of a swimming pool in real time, allowing for faster data analysis and the establishment of thresholds for each parameter so that the user is notified when the imposed limitations are exceeded. Some gadgets can be controlled remotely in one of two ways: manually or automatically. Moreover, this savvy boat has a net in front of it to clean the pool on the surface of the water from leaves and wastes and so on which is controlled through a remote control. The material used is a lightweight aluminum with mechanical and electric parts integrated with each other. In fact, this smart boat is qualified to serve as an assistant security guard for swimming pools because it has the characteristics that make it unique and smart.
      Citation: Measurement and Control
      PubDate: 2022-07-27T01:01:49Z
      DOI: 10.1177/00202940221113593
       
  • Cartesian space track planning for welding robot with inverse solution
           multi-objective optimization

    • Authors: Yicun Xu, Lei Cheng, Jiong Yang, Yujie Ji, Haonan Wang, Hongwei Sun, Chao Liu, Benshun Zhang
      Abstract: Measurement and Control, Ahead of Print.
      Aiming at the problem that the traditional inverse solution optimization method is not comprehensive and does not consider the robot structure and actual working conditions, an inverse solution multi-objective optimization method is proposed. This method comprehensively considers the structural size and working state of the welding robot, establishes the stiffness performance evaluation index, optimizes the performance index of the subsequent connecting rod movement area caused by joint rotation, and selects the optimal inverse solution combined with the principle of “minimum joint displacement.” Compared with the traditional method, this method is more comprehensive. It makes the variation range of the rear three small joints of the welding robot larger than the front three large joints, which reduces the power consumption. In addition, it also improves the stiffness of the welding robot at the trajectory point, which ensures the reliability of the welding robot. On this basis, for linear and arc welds, the position interpolation of cartesian space line and arc trajectory based on the S-shaped acceleration and deceleration curve and the posture interpolation of spherical linear interpolation based on unit quaternion are realized. MATLAB simulation results show that the combination of the inverse optimization method and the interpolation method makes the end trajectory, velocity, acceleration, posture curve, and joint displacement curve of the welding robot continuous, smooth, and without mutation.
      Citation: Measurement and Control
      PubDate: 2022-07-23T12:37:15Z
      DOI: 10.1177/00202940221106570
       
  • Flight cessation and modulation control of coleopteran employing wireless
           miniature muscular stimulators

    • Authors: Yongchang Jiang, Bo Yang, Ye Jiang, Wenhao Zhao, Xin Guo
      Abstract: Measurement and Control, Ahead of Print.
      Recently, the combination of electronic devices with living insects has been explored to manipulate their crawling or flying, similar to manipulable biological actuators. However, the investigations of controlled flight cessation or flight modulation of the coleopteran characterized by the strong payload capacity have rarely been reported thus far. On the basis of anatomy, this study proposed and validated two separate muscular electrical stimulation protocols to stop and modulate the flight of coleopteran, respectively. The experiment results demonstrated that the suggested cessation protocol realized flight cessation control with a success rate of 83% and a short response time. Meanwhile, the flight modulation stimulation protocol was able to increase the flapping frequency by an average of 7.3%. Finally, we designed a wireless miniature backpack weighing 1 gram to actuate the flight cessation and modulation of coleopteran in free-flying through the remote command transmission. The proposed method has potential applications in the development of the insect-cyborg micro air vehicle.
      Citation: Measurement and Control
      PubDate: 2022-07-16T07:32:10Z
      DOI: 10.1177/00202940221098047
       
  • A smart PLC-SCADA framework for monitoring petroleum products terminals in
           industry 4.0 via machine learning

    • Authors: Ossama Rashad, Omneya Attallah, Iman Morsi
      Abstract: Measurement and Control, Ahead of Print.
      The paper introduces a Programmable Logic Controller (PLC) / Human Machine Interface (HMI) system incorporated along with machine learning (ML) classifiers. Although some other studies have incorporated ML techniques to predict and control petroleum product terminals in terms of concentration, the proposed framework incorporates Add On Instruction (AOI) programming, PLC, and ML methods to automatically monitor petroleum products terminals. The framework adds an AOI in programming to achieve maximum usage of processor capabilities. Moreover, it uses AOI for programming in cooperation with the ladder diagram (LD). This leads to simplifying the LD graphical programming language, reducing the time of scanning, and making facilitate troubleshooting. The AOI is merged with ML to automate tank level detection and maintain good operational conditions and consequently protect these expensive essential assets. The introduced framework consists of three stages. The first stage is the PLC programming phase where the PLC is created using Add-On instructions. Next, HMI graphic displays are drawn and linked to the PLC tags in the following stage. During the third stage, the actual process readings are applied to the system based on ML algorithms to test its functionality. The proposed system results indicates a reduction in the LD number, highest program size, and maximum time of scanning. The results indicate that the AOI can help to trace the program more easily in fault situations. Besides, additional program instructions could reduce processor memory, system construction costs, and upgrade projects.
      Citation: Measurement and Control
      PubDate: 2022-07-12T10:20:47Z
      DOI: 10.1177/00202940221103305
       
  • Development of a full-scale apparatus to assess thermal protective
           performance of garments under highly intensive heat flux exposures

    • Authors: Sungwook Kang, Minjae Kwon, Joung Yoon Choi, Sengkwan Choi
      Abstract: Measurement and Control, Ahead of Print.
      This study discusses the development process of a full-scale test facility composed of a high-performance radiant heating system, a life-sized instrumented thermal manikin system with sensing assemblies, associated equipment and in-house software controlling the entire system. This test system was aimed to be used to examine the behaviour of emergency-responder garments and subsequently to find weaknesses of turnout gears at critical thermal conditions greater than a standard 84-kW/m2-intensity, thereby contributing to improving the survival chance of firefighters who could be requested to execute an emergency evacuation from an unexpected growth of modern fires. To impose a target 126-kW/m2-irradiance throughout the garment-dressed manikin’s exposed surface for a limited period of time (12 s) as uniformly, consistently, stably and safely as possible, several technical aspects were considered: the amounts of heat-source power and electric power-supply; areas of heating and receiving and their geometrical relationship; a practical percentage of the maximum heater-capability; efficiencies of electric power-supply and water-cooling; movable equipment; and safety equipment. Two analytical models were encoded using a finite difference method in the LabVIEW platform to determine a burn injury distribution throughout the manikin-shell in association with the measurement data from the test system. The heating system and software were validated in respect of the heating consistency, vertical intensity variation, intensity-rise rate and discrepancies between the existing and present models. It was proved that the heating system is capable of increasing its heat emission up to 126 kW/m2 within 1.5 s, maintaining the intensity-level with less than 9-kW/m2-change for 12 s, and distributing the intensity-level with less than 11-kW/m2-variation along the vertical direction, from 45-cm- to 155-cm-height. The development process can contribute to the ability to develop a large-scale test facility to test specimens under a critical thermal exposure condition for research purposes.
      Citation: Measurement and Control
      PubDate: 2022-07-09T03:34:42Z
      DOI: 10.1177/00202940211064212
       
  • A study on structure improvement scheme of electromagnetic flow sensor for
           slurry flow measurement

    • Authors: Song Gao, Hao Ma
      Abstract: Measurement and Control, Ahead of Print.
      A scheme to improve the structure of electromagnetic flow sensor is put forward in this paper, which can effectively solve the slurry noise problem when electromagnetic flowmeter measures slurry fluid. The electromagnetic flow sensor used for measuring slurry fluid has slurry noise interference in the measurement signal. At present, the method of increasing the excitation frequency of electromagnetic flow sensor is widely used to overcome slurry noise. However, high excitation frequency will lead to poor stability of zero point. In view of the shortcomings of existing methods, this paper studies the method of improving sensor structure to overcome slurry noise. Firstly, according to the mechanism of slurry noise, an improved scheme for the installation position of the measuring electrode of electromagnetic flow sensor is proposed, which can greatly reduce the probability of solid particles of slurry fluid colliding with the measuring electrode; Then, the relevant research results of bubble dynamics theory are applied to optimize the improvement scheme, and the improvement scheme is determined, through calibration, it is concluded that the improved sensor can reach the accuracy level of 1.0; Finally, through slurry measurement experiments, it is verified that the improved electromagnetic flow sensor can effectively overcome slurry noise.
      Citation: Measurement and Control
      PubDate: 2022-07-08T08:06:00Z
      DOI: 10.1177/00202940211064589
       
  • Research on degradation prediction of rolling bearing based on adaptive
           multi-GA-BP

    • Authors: Lingyu Hou, Yuanyuan Li, Wei Yao, Ming Tang, Qichun Sun, Jiahang Chen
      Abstract: Measurement and Control, Ahead of Print.
      Rolling bearings are widely used in industrial equipment. It is of great significance to study the degradation trend of rolling bearings. In this paper, an Adaptive Multi-population Genetic Algorithm (AMGA) is proposed. Firstly, Kernel Principal Component Analysis (KPCA) method is used to fuse the vibration signal in both time domain and frequency domain, which uses kernel to map the sample space to higher dimensional space and uses the higher dimensional space for linear dimensionality reduction. It can effectively reduce the dimension of nonlinear correlation variables and obtain the trend signal representing the Remaining Useful Life (RUL) characteristics of rolling bearing. Moreover, AMGA is proposed to optimize the number of neurons, initial weight, and initial threshold of the Back Propagation (BP) neural network prediction model. AMGA applies chaos algorithm to Genetic Algorithm (GA) to improve the diversity of the initial population. Meanwhile, the communication frequency between different populations is controlled by judging the similarity of the optimal solution among different populations, so as to effectively jump out of the local optimum and obtain the global optimal solution. Finally, the whole life data of the spin-up process of the rolling bearing from University of Cincinnati is taken as an example to analyze the performance of the algorithm. Compared with the traditional BP, the R2-score performance and the MAPE performance of KPCA-AMGA-BP are improved by 0.297 and 2.46% respectively. Furthermore, compared with the optimized BP, this method obtains the improved R2-score performance and the MAPE performance by 0.218 and 0.46%.
      Citation: Measurement and Control
      PubDate: 2022-07-07T10:15:03Z
      DOI: 10.1177/00202940211064451
       
  • An efficient adaptive combined filtering method for pipeline bending
           strain based on inertial in-line inspection

    • Authors: Liu Shucong, Wang Hongjun, Rui Li
      Abstract: Measurement and Control, Ahead of Print.
      Long-distance high-pressure oil and gas pipelines are threated by various external forces, such as earthquakes, landslides, and other third-party damages. These additional stresses will cause the pipeline to move and bend, which not only causes the pipeline to undergo a large bending strain, but will also causes the pipeline to fail in severe cases. In-line inspection (ILI) based on strapdown inertial navigation technology has become an effective inspection method for long-distance pipelines in recent years. However, the cups or support wheels of the ILI tool encounter the pipe wall, girth or spiral welds, and other features that lead to minor oscillations and vibration during the inspection. The attitude information computed by the inertial measurement unit (IMU) is affected by these noises, and the computation of pipeline bending strain (PBS) is inaccurate. In this paper, an efficient adaptive combined filtering method based on wavelet transform with Savitzky–Golay (S-G) is proposed, which is adaptable to the variation of attitude information for the ILI tool during a long distance and time inspection. Experiments were conducted to demonstrate the effectiveness of the optimization for PBS. The average relative deviation decreased from 38.3% to 18.3%.
      Citation: Measurement and Control
      PubDate: 2022-07-07T09:23:34Z
      DOI: 10.1177/00202940211064827
       
  • Adaptive trajectory estimation with power limited steering model under
           perturbation compensation

    • Authors: Zhengjie Zhu, Weipeng Li, Xiaogang Yang, Ruitao Lu, Lu Chen, Yunfeng Liu
      Abstract: Measurement and Control, Ahead of Print.
      Trajectory estimation of maneuvering objects is applied in numerous tasks like navigation, path planning and visual tracking. Many previous works get impressive results in the strictly controlled condition with accurate prior statistics and dedicated dynamic model for certain object. But in challenging conditions without dedicated dynamic model and precise prior statistics, the performance of these methods significantly declines. To solve the problem, a stochastic nonlinear model called the power-limited steering model is proposed to describe the motion of non-cooperative object. It is a natural combination of instantaneous power and instantaneous angular velocity, relying on the nonlinearity to achieve the change of states. And the renormalization group is introduced to compensate the nonlinear effect of perturbation in our model. For robust and efficient trajectory estimation, an adaptive trajectory estimation (AdaTE) algorithm is proposed. By updating the statistics and truncation time online, it corrects the estimation error caused by biased prior statistics and observation drift, while reducing the computational complexity lower than O(n). The experiment of trajectory estimation demonstrates the convergence of AdaTE, and the better robust to the biased prior statistics and the observation drift compared with several typical estimation algorithms. Other experiments demonstrate through slight modification, our method can also be applied to local navigation in random obstacle environment, and trajectory optimization in visual tracking.
      Citation: Measurement and Control
      PubDate: 2022-07-06T12:39:12Z
      DOI: 10.1177/00202940221103605
       
  • Development of a bench-scale apparatus to assess thermal protective
           performance of garments under highly intensive heat-flux exposures

    • Authors: Minjae Kwon, Sungwook Kang, Joung Yoon Choi, Rumeel Bhutta, Sengkwan Choi
      Abstract: Measurement and Control, Ahead of Print.
      Thermal protective clothing protects emergency responders from fire hazards. The thermal protective performance of the multi-layer fabric is standardly evaluated at the average value of a 1–3-cal/(cm2s)-intensity range. Considering the magnitude of modern fire events, the range’s upper limit (3 cal/(cm2s)) was proposed to take into account a critical radiation condition and a bench-scale apparatus, capable of creating the critical experimental environment, was developed in this study. This instrument includes a vertical configuration heater with an active water-cooling part, a vertical orientation specimen-assembly with a measuring part, a movable specimen-holder and thermal shields operated by pneumatic pumps, an exhaust hood connected to a pan, a data acquisition system, heating-power and mechanical equipment controllers and a computer with in-house burn-injury analysis software. A preliminary test was conducted to determine a specimen-assembly position that both optimised the heat-source power, heater-capability and apparatus-sustainability, and subsequently validated the uniformity and consistency of irradiance on the test sample. To conduct repeatable measurements, an in-house program was used to operate the heater, specimen assembly and thermal shields semi-automatically, in a sequence. The software includes an algorithm that allows one to analyse heat transfers across human-skin layers and to assess the degree of burn injuries. This paper outlines a comprehensive process of creating an experimental environment for samples that need to be exposed to a critical thermal condition.
      Citation: Measurement and Control
      PubDate: 2022-07-06T09:12:45Z
      DOI: 10.1177/00202940211064197
       
  • Sensorless torque and flux control of induction motor fed by photovoltaic
           system

    • Authors: Habib Kraiem
      Abstract: Measurement and Control, Ahead of Print.
      This paper presents a new direct torque and flux control method for induction motor fed from Photovoltaic (PV) System. The proposed strategy is based on Stator Field Orientation with deadbeat torque and flux control. The deedbeat control approach is based on establishing the voltage vector necessary to supply the motor and reach the electromagnetic torque and flux references at the end of a sampling period T. In order to create the voltage shape and frequency to control the induction motor, the inverter is supplied by a DC voltage extracted from a PV system. Model Reference Adaptive System and Luenberger Observer are designed to determine the stator flux and rotor speed. Extensive simulation work was carried out, which demonstrated that the proposed strategy is capable of reducing the torque and flux ripples and maintaining a constant switching frequency.
      Citation: Measurement and Control
      PubDate: 2022-07-04T11:51:26Z
      DOI: 10.1177/00202940221104869
       
  • Research on velocity measurement and relative positioning method of maglev
           train based on multi-sensor information fusion

    • Authors: Zengde Peng, Fengshan Dou, Zhiqiang Long
      Abstract: Measurement and Control, Ahead of Print.
      This paper focuses on the optimal method of the non-contact velocity measurement and relative positioning system for medium and low speed maglev trains. By analyzing the working principle of the velocity measurement method based on counting sleepers and analyzing the speed system error and random error model, it is shown that the velocity measurement accuracy based on the counting sleeper speed measurement method needs to be further improved. Therefore, a method of using multi-sensor information fusion is proposed to improve the accuracy of velocity measurement and relative positioning. Firstly, aiming at the disturbance problem of traction, braking and suspension vibration in the attitude angle calculation and the cumulative error problem of attitude angle, a posture solution method combining the optimized second-order complementary filter and the velocity adaptation Unscented Kalman filter with maximum noise reduction is proposed; Then, in order to further reduce the accumulated error of the attitude angle and the high performance requirements of the gyroscope, the bias instability of the gyroscope is analyzed, and an adaptive wavelet de-noising algorithm based on threshold optimization is proposed; Finally, to weaken the colored noise interference caused by the suspension vibration and to weaken the velocity accumulation error, a fusion velocity measurement and positioning algorithm of multi-loop Kalman filter with acceleration fusion correction and velocity accumulation error correction is researched. The effectiveness of the proposed fusion method is verified through simulation comparison analysis and on-board engineering test. Compared with the velocity measurement method based on counting sleepers, the velocity measurement accuracy is improved by an order of magnitude, and its accuracy is comparable to the high-precision velocity measurement method based on the induction loop and GPS/INS. It has certain engineering applicability and application value.
      Citation: Measurement and Control
      PubDate: 2022-06-29T04:19:18Z
      DOI: 10.1177/00202940221092102
       
  • Time-varying disturbance observer based on regulating boundary layer
           thickness sliding mode control for microelectromechanical systems
           gyroscope

    • Authors: Van Nam Giap, Hong-Son Vu, Shyh-Chour Huang
      Abstract: Measurement and Control, Ahead of Print.
      This paper presents a robust control methodology for a microelectromechanical systems gyroscope, which named time-varying disturbance observer based on regulating boundary layer thickness sliding mode control First, the micro electromechanical systems gyroscope mathematical model has been analyzed. Second, time-varying disturbance observer (T-V DOBs) was constructed for observing the unwanted signals from inside and outside of the system, which is well known as disturbance and uncertainty estimation. The time-varying disturbance observer has been constructed based on the basic nonlinear disturbance observer, the estimated disturbance has been used to compensate the outside disturbance and inside uncertainty. Third, the proportional integral derivative sliding mode surface was used to construct the equivalent control, afterward the switching control value of sliding mode control was selected following the regulating boundary layer thickness by using the fuzzy logic control to construct the switching boundary thickness. The simulation results has been archived by using MATLAB software. The chattering was significant goes to zero, and disturbance was mostly rejected. The convergence condition was proved based on the Lyapunov law.
      Citation: Measurement and Control
      PubDate: 2022-06-24T07:16:45Z
      DOI: 10.1177/00202940221083547
       
  • Physics-based modeling and multi-objective parameter optimization of
           

    • Authors: Ce Rong, Zhongbo He, Guangming Xue, Jingtao Zhou, Zhenglong Zhao
      Abstract: Measurement and Control, Ahead of Print.
      Serving as one of the core component, the excitation coil can exert remarkable influence on the output performance of giant magnetostrictive actuator (GMA) for electronic controlled fuel injector. In this paper, a multi-objective coil optimization scheme is proposed to balance the conflicting response speed and magnetic field intensity determined by the coil parameters. Firstly, a physics-based coil model is established for optimization, whose parameters can be directly calculated by the coil dimensions. Then, with the current response of the coil calculated, a multi-objective optimization framework is conducted attempting to get the selection guideline for the enameled wire diameter of the coil. The optimal choices exist when the outer diameter of the enameled wire falls in 0.9∼1.6 mm, and the inner/outer diameter ratio is relatively high. Finally, a series of experiments are conducted and the results indicate that the proposed model is able to accurately describe the current response throughout the operating frequencies, and the optimization scheme can provide a valuable roadmap to design coil for high performance GMA.
      Citation: Measurement and Control
      PubDate: 2022-06-22T02:25:43Z
      DOI: 10.1177/00202940221103606
       
  • Analyzing higher education performance by entropy - TOPSIS method: A case
           study in Viet Nam private universities

    • Authors: Tien-Chin Wang, Thuy T Thu Nguyen, Binh N Phan
      Abstract: Measurement and Control, Ahead of Print.
      The development in both quantity and quality of the system of private universities over the past time has created great opportunities for people to study and improve their qualifications and working skills. It is also challenging for educational managers to find the right university development strategy in today's competitive environment. Therefore, evaluating the effectiveness of using private universities resource to analyze training performance is considered one of the issues. In this study, the Entropy method is used to determine the weight of the criteria. Then the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is used to determine the ranking order of the private universities. Next, Spearman's rank correlation coefficient was applied to evaluate the correlation between rank-ordered variables over the 2 years of analysis selection. Finally, ANOVA was used to compare the criteria between groups of universities. The combination of methods contributes to creating an objective environment in assessing the performance of each university. Thereby, universities can see the important criteria to pay attention to, creating a premise for universities to establish strategies for development and competition. At the same time, educational leaders have the right perspective in choosing key universities to invest in finance and facilities.
      Citation: Measurement and Control
      PubDate: 2022-06-17T09:54:38Z
      DOI: 10.1177/00202940221089504
       
  • Self-learning control of model uncertain active suspension systems with
           observer–critic structure

    • Authors: Zhijun Fu, Peixin Yuan, Fang Zhou, Yaohua Guo, Pengyan Guo
      Abstract: Measurement and Control, Ahead of Print.
      This paper presents a self-learning control algorithm for model uncertain suspension systems using single network adaptive critic (SNAC) approach. First, a differential neural network (DNN) observer in conjunction with the weight updating law is established to observe the uncertain dynamic. Then, the nominal optimal value function is approximated by a critic NN whose weight is updated by a novel design learning law driven by the filtered parameter error. The online self-learning control policy is thus derived by approximately solving the Hamilton–Jacobi–Bellman (HJB) equation based on SNAC technique. The Lyapunov approach is synthesized to ensure the convergent characteristics of the entire closed-loop system composed of the DNN observer and the self-learning control policy. Computer simulation of a quarter car suspension system is established to verify the effectiveness of the proposed approach. Simulation results illustrated that the designed method can ensure the good performance in terms with the road hold and ride quality. In addition, independent of model and online self-learning characteristics make it possible to design a high-performance vehicle active suspension controller.
      Citation: Measurement and Control
      PubDate: 2022-06-17T09:05:35Z
      DOI: 10.1177/00202940221090273
       
  • Optimal design of an improved [math] and R control chart for joint
           monitoring of process location and dispersion

    • Authors: Qiang Wan, Mei Zhu
      Abstract: Measurement and Control, Ahead of Print.
      Enhancing the detection power of control charts for detecting small to moderate process changes is always the focus of attention in academia. To improve the detection ability of conventional [math] and R control charts, an improved joint [math] and R chart, which combines the ordinary [math] and R charts with runs rules of the type ‘r out of m’, is proposed to monitor the process location and dispersion simultaneously. A finite Markov chain imbedding approach is employed to develop the resulting control scheme. A comparative study is conducted to investigate the performance of the proposed chart in terms of the out-of-control average run length. The statistical performance of the suggested chart when the process parameters are estimated is also evaluated. The numerical results indicate that (1) the proposed chart improves the detection ability of traditional [math] and R charts in detecting small to moderate process shifts; (2) the suggested scheme performs better than the EWMA and CUSUM schemes in detecting large process fluctuations. Furthermore, when specific values of r and m are selected, the statistical performance of the proposed chart for detecting small shifts is close to or even better than that of its competitors; (3) the run length performance of the proposed chart is greatly affected by parameter estimation, especially for small process shifts.
      Citation: Measurement and Control
      PubDate: 2022-06-16T05:07:17Z
      DOI: 10.1177/00202940211043085
       
  • Active vibration optimal control of piezoelectric cantilever beam with
           uncertainties

    • Authors: Mingyue Cui, Hongzhao Liu, Hualong Jiang, Yangbing Zheng, Xing Wang, Wei Liu
      Abstract: Measurement and Control, Ahead of Print.
      Considering the stiffness characteristics of piezoelectric layer, the bending stiffness of piezoelectric cantilever beam is obtained by applying the first-order shear deformation theory. The finite element model of piezoelectric cantilever beam is established by Hamilton variation principle, and the modal superposition method is employed to reduce the order of the finite element model. At the maximum strain point, the sensors/actuators are equipped in pairs. Based on the uncertain dynamic model of piezoelectric cantilever beam, the independent modal space control method based on LQR (linear quadratic regulator) control is employed for the active control of the smart beam structure, and the weighted matrices Q and R are selected according to the energy criterion. The numerical simulations and experiments verify the effectiveness of the proposed finite element model and the active vibration optimal control.
      Citation: Measurement and Control
      PubDate: 2022-06-14T03:40:43Z
      DOI: 10.1177/00202940221091244
       
  • Low-noise delta-sigma analog front end with capacitor swapping technique
           for capacitive microsensors

    • Authors: Kyeongsik Nam, Hyungseup Kim, Gyuri Choi, Mookyoung Yoo, Hyoungho Ko
      Abstract: Measurement and Control, Ahead of Print.
      In this paper, low-noise incremental delta–sigma analog front end (AFE) integrated circuit (IC) for capacitive microsensors is presented. A conventional capacitance-to-digital converter (CDC) mainly uses a multi-stage capacitive sensing amplified stage (CSA) and analog-to-digital converters. The multi-stage CSA is not suitable for application in various Internet of things (IoT) devices that require low power because the power consumption of the analog front-end circuit increases in proportion to the number of amplifiers and the chip area increases. So, the presented delta-sigma AFE can convert the capacitance changes to the digital codes directly. This structure can achieve a small active area and low power consumption. The delta–sigma AFE achieves low-noise and high linearity using a capacitor polarity swapping technique. The measured effective resolution is 16.2 bits, and the non-linearity is 0.05% full-scale output (FSO). The integrated circuit is implemented in a 0.18-µm standard CMOS process. All functional blocks, including the analog circuits (bandgap reference, voltage reference, and delta–sigma capacitance-to-digital converter) and digital block (accumulator and timing generator), are integrated on a chip. The proposed incremental delta–sigma AFE consumes 1.12 mW of power from a 3.3-V supply at a sampling frequency of 500 kHz and occupies a total active area of 0.42 mm2.
      Citation: Measurement and Control
      PubDate: 2022-06-13T11:33:28Z
      DOI: 10.1177/00202940221099048
       
  • Data-driven performance evaluation of a low-cost seismograph

    • Authors: Spiridon G. Krokidis, Ioannis Vlachos, Markos Avlonitis, Anastasios Kostoglou, Vasileios Karakostas
      Abstract: Measurement and Control, Ahead of Print.
      The design and implementation of a performance protocol for local seismicity monitoring, is presented. A low-cost seismograph was installed in an area of high seismic activity in Evgiros, Lefkada Island, Greece, collocated with a high resolution 24-bit digitizer equipped with a broadband seismometer. A testing list of 28 local events with different epicenters and magnitudes has been compiled while acquisition data from the conventional seismograph and the proposed one were analyzed. Stochastic data analysis was used to compare these recordings on the same test site with different logging devices. The obtained results showed a satisfactory outcome in the performance of the proposed low-cost seismograph. Even though noise was present, P and S waves were clearly recorded with distinct amplitudes and therefore this arrival time difference, when compared with the one originating from the conventional seismograph, was found to be insignificant. Moreover, through a known magnitude equation, it manages to calculate earthquake’s local magnitude with a deviation of ± 0.4, a result that can be further improved. Lastly, spectral content analysis revealed almost identical waveforms with equivalent relative frequency distributions between the devices being compared.
      Citation: Measurement and Control
      PubDate: 2022-06-07T10:04:38Z
      DOI: 10.1177/00202940211064448
       
  • Least square algorithm based on bias compensated principle for parameter
           estimation of canonical state space model

    • Authors: Longlong Liu, Zhen Long, Ahmad Taher Azar, Quanmin Zhu, Ibraheem Kasim Ibraheem, Amjad J Humaidi
      Abstract: Measurement and Control, Ahead of Print.
      Due to the existence of system noise and unknown state variables, it is difficult to realize unbiased estimation with minimum variance for the parameter estimation of canonical state space model. This paper presents a new least squares estimator based on bias compensation principle to solve this problem, transforms canonical state space into the form suitable for the least square algorithm, introduces an augmented parameter vector and an auxiliary variable, derives parameter estimation formula based on noise compensation, realizes the unbiased estimation, and gives the specific algorithm. A simulation example is provided to verify the effectiveness of the estimator.
      Citation: Measurement and Control
      PubDate: 2022-06-02T10:37:14Z
      DOI: 10.1177/00202940211064179
       
  • Development of low-cost heterodyne interferometer with virtual electronic
           phasemeter

    • Authors: Chia-Ming Jan, Chien-Sheng Liu, Chen-Yu Lin
      Abstract: Measurement and Control, Ahead of Print.
      Commercial laser interferometers are conventionally used to measure the positioning error of a long linear stage in multiaxis computer numerical control machine tools. However, commercial laser interferometers are costly and difficult to use. Therefore, a low-cost photodetector-based heterodyne interferometer combined with an electronic phasemeter module was proposed for precise measurement of the positioning error of a long linear stage. The proposed heterodyne interferometer was combined with a virtual electronic phasemeter that employs a self-developed signal-processing technique. Our core algorithm and proposed photoelectric-signal-processing technique were developed using the LabVIEW human–machine interface. Moreover, to verify the performance of the proposed heterodyne interferometer, a laboratory-built prototype was constructed and used to measure the positioning error of a long linear stage. The experimental results indicated that the positioning accuracy of the proposed interferometer was ±4.5 μm for a linear stage with a displacement of 250 mm; the results obtained were comparable to those obtained with a commercially available laser interferometer. The proposed heterodyne interferometer can thus be used in other applications related to precision engineering.
      Citation: Measurement and Control
      PubDate: 2022-06-01T07:43:08Z
      DOI: 10.1177/00202940221095529
       
  • Robust chaos suppression of uncertain unified chaotic systems based on
           chattering-free sliding mode control

    • Authors: Chih-Hsueh Lin, Chia-Wei Ho, Guo-Hsin Hu, Baswanth Sreeramaneni, Jun-Juh Yan
      Abstract: Measurement and Control, Ahead of Print.
      For continuous sliding mode control (SMC) in the unified chaotic systems subjected to matched/unmatched uncertainties, a novel chattering-free SMC design is proposed. First, an augmented state is introduced such that it becomes possible to develop a continuous controller to eliminate the undesired chattering which often appears in the typical SMC. Then by using this chattering-free controller, the chaos behavior in unified chaotic systems with matched uncertainties can be completely suppressed. As for the unmatched uncertainties, every state of controlled systems can be driven and limited to a predictable bound, which is not addressed in the literature. Finally, the effectiveness of the proposed chattering-free controller is verified by the numerical simulations.
      Citation: Measurement and Control
      PubDate: 2022-05-26T02:11:36Z
      DOI: 10.1177/00202940221090272
       
  • Stereovision-based method for free vibration measurement of a mine
           hoisting rope

    • Authors: Ganggang Wu, Xingming Xiao, Chi Ma, Yuqiang Jiang
      Abstract: Measurement and Control, Ahead of Print.
      Currently, there are no suitable means to measure the composite vibration response of mine hoisting rope. However, machine vision-based measurement technology is a potential way to solve this problem. Therefore, a non-contact and non-intrusive stereovision method is proposed to obtain the 2D vibration displacement of a moving hoisting rope. In this methodology, a novel 3D digital image correlation (DIC) method that combines digital image processing (DIP) algorithm with 2D-DIC algorithm is developed, and the method can simplify the procedure of rope target stereo matching in two synchronous image sequences. In order to confirm the correctness of the stereovision method, some free vibration responses of a rope are measured in a hoist experimental system. Test results demonstrate that the stereovision measurement technique can keep satisfactory consistency with the laser displacement sensor for vibration data identification. The method is verified to have high adaptability to different lighting conditions and be reasonable to measure the vibration parameters of dynamic mine hoisting rope.
      Citation: Measurement and Control
      PubDate: 2022-05-25T03:25:07Z
      DOI: 10.1177/00202940211065627
       
  • Research on distributed beamforming synchronization technology in
           inter-satellite link system

    • Authors: Jianyun Chen, Zhang Yonggang, Sili Liu
      Abstract: Measurement and Control, Ahead of Print.
      Limited by satellite load and carrying capacity, it is difficult for inter-satellite link systems to improve information transmission capabilities by increasing power and antenna size like traditional terrestrial communication systems. Satellite communication payload power has always been an important limitation of long-distance communication performance. In order to improve the satellite’s long-distance communication capability and comprehensively consider the characteristics of Doppler frequency changes in the satellite environment, we propose a cooperative communication algorithm based on weak bit feedback. This algorithm can realize the time and space focusing of the beams emitted by multiple distributed satellite nodes at the destination node, and improve the performance of satellite long-distance communication. This paper simulates the above algorithm based on STK/Matlab software. The simulation results show that the weak bit feedback algorithm has stronger adaptability, faster convergence speed and higher synthesis efficiency under different channel changes. The algorithm is simple and easy to implement, and is suitable for the inter-satellite link environment with many satellite nodes and high scalability. Finally, we conducted hardware experimental verification, analyzed the signal flow of each module in the hardware, and tested it on the USRP software radio platform. The test results show that it is a feasible solution to realize distributed satellite node cooperative communication based on the weak bit feedback algorithm.
      Citation: Measurement and Control
      PubDate: 2022-05-24T03:34:39Z
      DOI: 10.1177/00202940221089256
       
  • Method of voltage setting for power battery simulator using successive
           nearest-neighbor interpolation

    • Authors: Jiliang Yi, Huabing Tan, Jin Zhang, Zhongqi Li
      Abstract: Measurement and Control, Ahead of Print.
      The power battery simulator is important equipment in new energy vehicle test platform and other industrial fields, and the battery model is the key to emulate the battery characteristics accurately. A novel method of given voltage for the power battery simulator is proposed in the paper. According to the state of charge (SOC) of the power battery, three sub-tables with different resolutions are established corresponding to the initial, stationary, and final stage of SOC. To ensure the accuracy of a given voltage under small data capacity, a successive nearest-neighbor interpolation (SNNI) algorithm is proposed for processing battery model data and the iterative calculation is carried out for the data obtained by looking up the table until it approaches the required value. Simulations and experiments are done on various capacity data tables, which are obtained by employed different sampling ratios to reduce the data capacity, and the influence of iteration number selection on the accuracy of the algorithm is discussed. The results show that, after 4–5 iterations, the given voltage accuracy is controlled within 0.03 V by the SNNI algorithm with only 1.6% capacity of the standard model table, which is greatly improved compared with the traditional method, and the feasibility is verified by executing the proposed algorism in a DSP system.
      Citation: Measurement and Control
      PubDate: 2022-05-24T02:03:51Z
      DOI: 10.1177/00202940211064828
       
  • Model-based sensor fault detection, isolation and tolerant control for a
           mine hoist

    • Authors: Xiao Chen, Zhen-Cai Zhu, Tian-Bing Ma, Gang Shen
      Abstract: Measurement and Control, Ahead of Print.
      Encoder is essential for speed control and very valuable in condition monitoring for a mine hoist and the failure in sensor measurements can lead to serious accidents. In this paper, a novel encoder fault detection, isolation and tolerant control strategy based on finite time observers and constrained fault-tolerant controller is proposed for a mine hoist. The hybrid nonlinear observers which can converge to the origin in finite time are employed to detect and isolate faulty sensors, a residuals evaluation unit is then used to provide reconstructed signals. The constrained fault tolerant controller is presented to guarantee steady and safe running of the mine hoist when sensor fails. This approach is feasible and practical because it does not require a complicated update process, and the fault tolerance controller also makes the hoist run more reliably. Compared with traditional ways, the proposed method has superior performance and can be more effective, which are verified by experimental results.
      Citation: Measurement and Control
      PubDate: 2022-05-23T02:37:12Z
      DOI: 10.1177/00202940221090549
       
  • Measurement of master node delay in networked control systems

    • Authors: Yongmeng Huang, Shuai Ji, Zuguang Huang, Chengrui Zhang, Tianliang Hu
      Abstract: Measurement and Control, Ahead of Print.
      Master node delay is an unavoidable factor in a networked control system (NCS), which will lead to performance deterioration of the system, and large delay may even cause instability. In order to measure the master node delay in NCSs, its influence factors are analyzed and a non-perturbative black-box measurement method is proposed. In this method, a FPGA-based (Field-Programmable Gate Array) measurement device is developed, which sends out testing frames to master node periodically and triggers the master node to send out a response frame for every testing frame. Then the measurement device can get the measurement delay value by calculating the time interval between sending the testing frame and receiving the response frame, which consists of master node delay and some other delay that can be calculated precisely. Therefore, the accurate master node delay can be obtained by further processing the measurement delay value. A set of experiments were carried out and the results show that the proposed method can effectively measure the master node delay without a thorough understanding about its hardware and operating system software, and is not constrained by the type of operating system. Besides, as the master node delay can be measured exactly in the actual working condition without perturbing its user program by using this method, the results can reflect the real-time performance of the master node accurately. So that, it can provide a direct reference for choosing an appropriate master node for NCSs.
      Citation: Measurement and Control
      PubDate: 2022-05-21T08:44:56Z
      DOI: 10.1177/00202940221098085
       
  • Progress in numerical simulation of casting process

    • Authors: Zhengyang Chen, Yueyang Li, Fengrui Zhao, Shi Li, Ji Zhang
      Abstract: Measurement and Control, Ahead of Print.
      The numerical simulation of casting process can calculate casting filling process, solidification process, and obtain change and coupling information of temperature field, velocity field, pressure field, stress field and microstructure. At present, numerical simulation of casting process has been quite mature at the macro level, and is developing towards the direction of micro level. The coupling and integration of different fields between temperature, flow, stress, and microstructure, is the shape of things for numerical simulation research of casting process. This paper reviews and summarizes the research history and current situation of numerical simulation of casting process. The progress in numerical simulation from five aspects of casting solidification, casting filling, stress field, microstructure, commercial software, is presented.
      Citation: Measurement and Control
      PubDate: 2022-05-17T07:23:29Z
      DOI: 10.1177/00202940221102656
       
  • Stable and quadratic-optimal parallel-distributed-compensation controller
           design for time-varying Takagi–Sugeno fuzzy model System: A
           complementary computational approach

    • Authors: Fu-I Chou, Wen-Hsien Ho
      First page: 119
      Abstract: Measurement and Control, Ahead of Print.
      A complementary computational approach is proposed for the time-varying Takagi–Sugeno fuzzy model system (TVTSFMS). The proposed approach integrates orthogonal-functional approach (OFA), hybrid Taguchi genetic algorithm (HTGA), and a stabilizability condition (SC) for use in designing stable and quadratic-optimal parallel-distributed-compensation (SQOPDC) controllers for optimal control problems. First, the SC was set according to linear matrix inequalities (LMIs). Next, OFA was used to derive an algorithm that only required algebraic computation to solve the TVTSFMS. Finally, The HTGA could be used to search the SQOPDC controller for the TVTSFMS. The SQOPDC controller obtained by the proposed complementary computational approach was evaluated in a case study of a vibratory pendulum design; the successful design verified the usability of the proposed hybrid intelligent computing method.
      Citation: Measurement and Control
      PubDate: 2022-04-30T03:02:34Z
      DOI: 10.1177/00202940221083583
       
  • Using time difference analysis algorithms to measure the response time of
           rat auditory cortex neurons to auditory nerve stimulation

    • Authors: Linda Zhu, Hao Luo, Jinsheng Zhang
      First page: 126
      Abstract: Measurement and Control, Ahead of Print.
      Measurement of the information flow along the ascending auditory pathway from the periphery to the auditory cortex (AC) has been given much attention in neurocomputation. While the neurophysiological mechanisms of the auditory pathway have been well studied, the temporal resolution and relationships among the auditory centers are still under investigation, especially when suffering from acoustic trauma that results in peripheral deficits and neural signal changes in the auditory system. In this study, we measured rat AC neurons and auditory nerve (AN) signals in digital format by using two new algorithms to calculate the neural response time of the AC neurons to electrical stimulation of the AN and quantify the neural information flow in the temporal domain. One algorithm compared time difference of neural spikes directly, which was based on the conventional idea of spike train in neurocomputation. The other employed a modified cross-correlation algorithm. Both algorithms shared the same pre-signal processing of spike selection. The statistical results by the two methods were compared and various parameters in the algorithms and their impact on the accuracy of the results were discussed. To test the effectiveness of the proposed method, the time difference between the AC to AN activities was calculated by both algorithms with raw neural signals collected. The neural signals from the animals were measured before and after noise trauma, and one of the animals received intra-modiolus electrical stimulation (IMES) to stimulate the AN. The results from using the two algorithms were generally consistent, and the biological mechanisms behind the time delay results between AC and AN activities were discussed.
      Citation: Measurement and Control
      PubDate: 2022-04-27T10:43:24Z
      DOI: 10.1177/00202940221089242
       
  • Arduino Uno Wi-Fi DeMilitarized Zone-based monitoring of solar
           photovoltaic systems

    • Authors: Mounir Bouzguenda, Slim Chtourou, Mohammed Alarfaj, Raja Mohamed Sumsudeen, Mohamed Shwehdi
      First page: 136
      Abstract: Measurement and Control, Ahead of Print.
      Due to global warming, governments around the world are focusing on renewable energy as the main source of energy. Gulf countries in particular, are focusing on solar energy due to its abundance and the gulf geolocation that allows the installation of ambitious solar photovoltaic (PV) energy systems and replace conventional power plants. In order to maximize energy extraction from the sun, solar power operators need to constantly monitor key solar PV parameters such as panel temperature, solar irradiation, voltage and current in order to detect abnormalities in the PV system operation and take the necessary actions to keep the PV system performance at its maximum. However, monitoring such parameters on-site is exhausting and expensive. Moreover, remote monitoring for solar PV systems is a more attractive solution once the data collection, processing and transmission become faster and less expensive. This paper describes the design of a low-cost remote monitoring system intended for off-grid solar PV systems. The designed remote monitoring system uses a combination of an Arduino Uno Wi-Fi demilitarized zone (DMZ) communication system with router-configured network sensors calibrated to fulfill the IEC-61,724 standards and it provides meteorological and electrical measurements with an error of 2% or less. There are four primary features of the proposed monitoring system. First, it combines the Arduino Uno Wi-Fi with a DMZ configuration in the router. Second, it complies with the minimum current, voltage, power, and PV-module temperature values set by the IEC-61,724 in such a way that the average error does not exceed the 4% threshold. Third, it provides an accuracy level of 98% for the meteorological and electrical parameters. This level of accuracy exceeds that of commercial data logging equipment. Finally, its total cost is less than $100, which is less than that of available commercial solar PV monitoring systems. Additional features include the ability to select the number of processed measurements per hour and innovative processing, display, and access schemes. These features enable the accessibility of the data from mobile phones and computers within the campus for teaching and experimentation purposes.
      Citation: Measurement and Control
      PubDate: 2022-04-28T02:50:01Z
      DOI: 10.1177/00202940221090553
       
  • Design and test of electromechanical disc brake controller for mine hoist

    • Authors: Huawei Jin, Huwei Xu, Shun Wang
      First page: 146
      Abstract: Measurement and Control, Ahead of Print.
      Electromechanical braking technology is an effective way to improve the braking response of mine hoist. Through the analysis of the mine hoist electromechanical mechanical disc brake, a mathematical model including the motor, reducer and thread pair is established. The control process is analyzed in detail, and then the control strategy is obtained. An automatic control system based on linear quadratic regulator and PI controller is proposed. The braking goal of self-adaptive adjustment of braking clearance and on-line adjustment of braking force is realized. Compare the simulation and test results, discuss the performance of the controller. The results of the experiment indicate that the brake gap adjustment time is less than 10 s, stable within 1±0.2 mm, and the steady-state error is less than 2%. The positive pressure of the brake has a linear relationship with the motor voltage, with a slope of 920.4 and an intercept of −1298.88. It can replace the existing hydraulic brakes without the problem of low degree of automation and high pollution, which provides a new way for the control system of electromechanical brake.
      Citation: Measurement and Control
      PubDate: 2022-04-28T07:52:24Z
      DOI: 10.1177/00202940221091270
       
  • Deep analysis of the transient behavior of centrifugal pumps during
           startup and shutdown

    • Authors: Yu-Liang Zhang, Ying-Yu Ji, Yan-Juan Zhao
      First page: 155
      Abstract: Measurement and Control, Ahead of Print.
      The transient startup and shutdown of centrifugal pumps is inevitable and its transient performance has thus attracted increasing attention in recent years. This study aims to reveal the transient characteristics of centrifugal pumps during the start-stop process by using the dimensionless analysis method and quasi-steady-state method. The research objects are three typical centrifugal pumps with an impeller structure. The startup process includes quick and slow startup, and the shutdown process includes low-speed and high-speed idle rotation. Results show that the similarity law of centrifugal pumps can be applied to transient hydraulic performance prediction under full flow conditions during slow startup and under small flow conditions during quick startup and idle shutdown. Quick or slow startup does not affect the evolution of the dimensionless power coefficients. The research result may be useful for the design of the new fluidmachinery equipment by utilizing transient hydraulic performance.
      Citation: Measurement and Control
      PubDate: 2022-05-02T01:31:43Z
      DOI: 10.1177/00202940211064234
       
  • A crack detection system of subway tunnel based on image processing

    • Authors: Xuanran Liu, Liqiang Zhu, Yaodong Wang, Zujun Yu
      First page: 164
      Abstract: Measurement and Control, Ahead of Print.
      For the images of crack defects of subway tunnel, traditional image processing algorithms is hardly effective for dealing with problems existing in the image like uneven illumination or severe noise interference. Based on pixel-level processing, an improved crack detection algorithm is proposed using structural analysis for improving the quality of tunnel images. Firstly, image preprocessing transforms the raw images of tunnel surface into binary images containing crack pixels and noise pixels. To extract crack information from binary images, three kinds of interference components are removed by structural analysis. With few interference components remaining in the image, the width of crack can be calculated according to the mean and standard deviation of the local area of the crack. Based on the algorithm, a crack detection system is designed, and a tunnel inspection experiment is conducted in a subway tunnel to capture tunnel surface images. Compared with popular image processing method, the crack recognition rate of the proposed method is 91.15% which is approximately 10% higher than others, and the measurement result of crack width based on the proposed method is closer to the ground truth. The experiment result indicates that the proposed method shows a better performance in crack detection.
      Citation: Measurement and Control
      PubDate: 2022-05-04T05:37:49Z
      DOI: 10.1177/00202940211062015
       
  • Frictional forces and torques compensation based cascaded sliding-mode
           tracking control for an uncertain omnidirectional mobile robot

    • Authors: Hsiu-Ming Wu, Mansour Karkoub
      First page: 178
      Abstract: Measurement and Control, Ahead of Print.
      The work presented here deals with the trajectory-tracking control of omnidirectional mobile robots using a novel robust control technique. The aim is to achieve good tracking performance in the presence of frictional forces and torques, uncertainties, and saturated control inputs. First, a dynamic model of the omnidirectional mobile robot incorporating motor dynamics and frictional forces and torques is derived leading to a higher order system model. Subsequently, a novel cascaded sliding-mode tracking control scheme is proposed to perform trajectory-tracking with the omnidirectional mobile robot, which includes direct and indirect sliding-mode controllers in a cascaded structure. The indirect sliding-mode controller is utilized to attain tracking of the indirect reference input (i.e., desired trajectory) in the first subsystem and constitutes a direct reference input for the second one. A direct sliding-mode controller (i.e., actual control) is then designed to achieve tracking of the direct reference input. This way, the indirect reference input can be effectively manipulated through the proposed cascaded sliding-mode tracking control and individual subsystems are guaranteed to have not only Uniform Ultimate Boundedness but also asymptotic convergent performance. The stability of the closed-loop system is demonstrated via the Lyapunov stability criteria and validated through simulations. It is shown that the cascaded sliding-mode tracking control leads to good trajectory-tracking performance in the presence of uncertainties, friction, and saturated control input.
      Citation: Measurement and Control
      PubDate: 2022-05-07T04:40:35Z
      DOI: 10.1177/00202940221092033
       
  • Active disturbance rejection control based on inertia estimation and
           variable gain for servomechanism of industrial robot

    • Authors: Wei Jiang, Dafang Chen, Ying Zheng, Xinguo Qiu, Chen Wang
      First page: 189
      Abstract: Measurement and Control, Ahead of Print.
      This paper proposes an adaptive PID controller based on linear extended state observer (LESO) for the two-degree-of-freedom joint servomechanism of industrial robot with time-varying load, uncertainties of parameters and disturbance. The third-order extended state space equations of the system approximate model is established to obtain LESO which is applied to estimate the state values and the total disturbance. The model reference adaptive algorithm is used to estimate the variable moment of inertia to design the controller parameter for control law which is designed with disturbance compensation. By appropriately selecting the adaptive gain coefficient of model reference adaptive algorithm and the bandwidth of LESO, the influences of parameter uncertainty, unknown dynamics and disturbances are effectively attenuated. Simulation and experimental results show that the proposed method achieves both satisfactory disturbance rejection and tracking performances of the two-degree-of-freedom joint servomechanism.
      Citation: Measurement and Control
      PubDate: 2022-05-10T01:40:20Z
      DOI: 10.1177/00202940221075257
       
  • Modelling of incident light occlusion during gear measuring based on the
           line-structured laser sensor and analysis on its influence factors

    • Authors: Bo Yu, Hanlin Kou, Yanqiang Sun, Zhaoyao Shi
      First page: 198
      Abstract: Measurement and Control, Ahead of Print.
      Line-structured laser sensors used in gear measuring provide a new way to acquire the perfect 3-D information of the complicated tooth flank with modification. This method leads to a series of problems, such as incident light occlusion, multiple reflection, system calibration and so on. The incident light occlusion poses severe problem on the integrity of the gear flank data acquired by the line-structured laser sensors. To understand the influence of the incident light occlusion during the cylindrical gear measuring and improve the efficiency of the measurement, this article analyzes this problem in depth. According to the position relation between the line-structure laser sensor and the gear, the projection theory is used to illustrate the incident light occlusion process between adjacent teeth and the model of the occlusion is built up. Four experiments are conducted to verify the validity of the model. This model applies to the cylindrical gear with different parameters. The influence of the modification on incident light occlusion zone could be ignored. On the basis of this model, the influence of the offset and the setting angle of the sensor on the incident light occlusion problem is thoroughly discussed, which gives a guide to control route planning and data acquiring during measuring the perfect information of the tooth flank.
      Citation: Measurement and Control
      PubDate: 2022-05-16T11:40:51Z
      DOI: 10.1177/00202940221092123
       
  • Trajectory tracking of differential drive mobile robots using
           fractional-order proportional-integral-derivative controller design tuned
           by an enhanced fruit fly optimization

    • Authors: Azher M. Abed, Zryan Najat Rashid, Firas Abedi, Subhi R. M. Zeebaree, Mouayad A. Sahib, Anwar Ja'afar Mohamad Jawad, Ghusn Abdul Redha Ibraheem, Rami A. Maher, Ahmed Ibraheem Abdulkareem, Ibraheem Kasim Ibraheem, Ahmad Taher Azar, Ameer Al-khaykan
      First page: 209
      Abstract: Measurement and Control, Ahead of Print.
      This work proposes a new kind of trajectory tracking controller for the differential drive mobile robot (DDMR), namely, the nonlinear neural network fractional-order proportional integral derivative (NNFOPID) controller. The suggested controller’s coefficients comprise integral, proportional, and derivative gains as well as derivative and integral powers. The adjustment of these coefficients turns the design of the proposed NNFOPID control further problematic than the conventional proportional-integral-derivative control. To handle this issue, an Enhanced Fruit Fly Swarm Optimization algorithm has been developed and proposed in this work to tune the NNFOPID’s parameters. The enhancement achieved on the standard fruit fly optimization technique lies in the increased uncertainty in the values of the initialized coefficients to convey a broader search space. subsequently, the search range is varied throughout the updating stage by beginning with a big radius and declines gradually during the course of the searching stage. The proposed NNFOPID controller has been validated its ability to track specific three types of continuous trajectories (circle, line, and lemniscate) while minimizing the mean square error and the control energy. Demonstrations have been run under MATLAB environment and revealed the practicality of the designed NNFOPID motion controller, where its performance has been compared with that of a nonlinear Neural Network Proportional Integral Derivative controller on the tracking of one of the aforementioned trajectories of the DDMR.
      Citation: Measurement and Control
      PubDate: 2022-05-17T04:16:39Z
      DOI: 10.1177/00202940221092134
       
 
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