Subjects -> INSTRUMENTS (Total: 63 journals)
Showing 1 - 16 of 16 Journals sorted alphabetically
Applied Mechanics Reviews     Full-text available via subscription   (Followers: 27)
Computational Visual Media     Open Access   (Followers: 5)
Devices and Methods of Measurements     Open Access  
Documenta & Instrumenta - Documenta et Instrumenta     Open Access  
EPJ Techniques and Instrumentation     Open Access  
European Journal of Remote Sensing     Open Access   (Followers: 18)
Experimental Astronomy     Hybrid Journal   (Followers: 39)
Flow Measurement and Instrumentation     Hybrid Journal   (Followers: 15)
Geoscientific Instrumentation, Methods and Data Systems     Open Access   (Followers: 2)
Geoscientific Instrumentation, Methods and Data Systems Discussions     Open Access   (Followers: 1)
IEEE Journal on Miniaturization for Air and Space Systems     Hybrid Journal   (Followers: 3)
IEEE Sensors Journal     Hybrid Journal   (Followers: 111)
IEEE Sensors Letters     Hybrid Journal   (Followers: 4)
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems)     Open Access   (Followers: 3)
Imaging & Microscopy     Hybrid Journal   (Followers: 7)
InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan     Open Access  
Instrumentation Science & Technology     Hybrid Journal   (Followers: 7)
Instruments and Experimental Techniques     Hybrid Journal   (Followers: 1)
International Journal of Applied Mechanics     Hybrid Journal   (Followers: 8)
International Journal of Instrumentation Science     Open Access   (Followers: 41)
International Journal of Measurement Technologies and Instrumentation Engineering     Full-text available via subscription   (Followers: 1)
International Journal of Metrology and Quality Engineering     Full-text available via subscription   (Followers: 6)
International Journal of Remote Sensing     Hybrid Journal   (Followers: 151)
International Journal of Remote Sensing Applications     Open Access   (Followers: 49)
International Journal of Sensor Networks     Hybrid Journal   (Followers: 2)
International Journal of Testing     Hybrid Journal   (Followers: 1)
Invention Disclosure     Open Access   (Followers: 1)
Journal of Astronomical Instrumentation     Open Access   (Followers: 4)
Journal of Instrumentation     Hybrid Journal   (Followers: 31)
Journal of Instrumentation Technology & Innovations     Full-text available via subscription   (Followers: 2)
Journal of Medical Devices     Full-text available via subscription   (Followers: 4)
Journal of Medical Signals and Sensors     Open Access   (Followers: 1)
Journal of Optical Technology     Full-text available via subscription   (Followers: 4)
Journal of Research of NIST     Open Access   (Followers: 1)
Journal of Sensors and Sensor Systems     Open Access   (Followers: 12)
Journal of Vacuum Science & Technology B     Hybrid Journal   (Followers: 1)
Jurnal Informatika Upgris     Open Access  
Measurement : Sensors     Open Access   (Followers: 5)
Measurement and Control     Open Access   (Followers: 36)
Measurement Instruments for the Social Sciences     Open Access  
Measurement Techniques     Hybrid Journal   (Followers: 3)
Medical Devices & Sensors     Hybrid Journal   (Followers: 1)
Metrology and Instruments / Метрологія та прилади     Open Access  
Metrology and Measurement Systems     Open Access   (Followers: 8)
Microscopy     Hybrid Journal   (Followers: 7)
Modern Instrumentation     Open Access   (Followers: 57)
Optoelectronics, Instrumentation and Data Processing     Hybrid Journal   (Followers: 5)
PFG : Journal of Photogrammetry, Remote Sensing and Geoinformation Science     Hybrid Journal   (Followers: 5)
Photogrammetric Engineering & Remote Sensing     Full-text available via subscription   (Followers: 33)
Remote Sensing     Open Access   (Followers: 57)
Remote Sensing Applications : Society and Environment     Full-text available via subscription   (Followers: 9)
Remote Sensing of Environment     Hybrid Journal   (Followers: 96)
Remote Sensing Science     Open Access   (Followers: 30)
Review of Scientific Instruments     Hybrid Journal   (Followers: 20)
Science of Remote Sensing     Open Access   (Followers: 7)
Sensors International     Open Access   (Followers: 3)
Solid State Nuclear Magnetic Resonance     Hybrid Journal   (Followers: 3)
Standards     Open Access  
Transactions of the Institute of Measurement and Control     Hybrid Journal   (Followers: 12)
Videoscopy     Full-text available via subscription   (Followers: 9)
Труды СПИИРАН     Open Access  
Similar Journals
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]
  • 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
       
 
JournalTOCs
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
Email: journaltocs@hw.ac.uk
Tel: +00 44 (0)131 4513762
 


Your IP address: 18.232.177.219
 
Home (Search)
API
About JournalTOCs
News (blog, publications)
JournalTOCs on Twitter   JournalTOCs on Facebook

JournalTOCs © 2009-