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International Journal of Intelligent Unmanned Systems
Number of Followers: 3  Hybrid journal * Containing 1  Open Access article(s) in this issue *ISSN (Print) 2049-6427 - ISSN (Online) 2049-6435 Published by Emerald  [362 journals]
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- The usefulness of sensor fusion for unmanned aerial vehicle indoor
positioning-
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Authors: Hang Guo, Xin Chen, Min Yu, Marcin Uradziński, Liang Cheng
Abstract: In this study, an indoor sensor information fusion positioning system of the quadrotor unmanned aerial vehicle (UAV) was investigated to solve the problem of unstable indoor flight positioning. The presented system was built on Light Detection and Ranging (LiDAR), Inertial Measurement Unit (IMU) and LiDAR-Lite devices. Based on this, one can obtain the aircraft's current attitude and the position vector relative to the target and control the attitudes and positions of the UAV to reach the specified target positions. While building a UAV positioning model relative to the target for indoor positioning scenarios under limited Global Navigation Satellite Systems (GNSS), the system detects the environment through the NVIDIA Jetson TX2 (Transmit Data) peripheral sensor, obtains the current attitude and the position vector of the UAV, packs the data in the format and delivers it to the flight controller. Then the flight controller controls the UAV by calculating the posture to reach the specified target position. The authors used two systems in the experiment. The first is the proposed UAV, and the other is the Vicon system, our reference system for comparison purposes. Vicon positioning error can be considered lower than 2 mm from low to high-speed experiments. After comparison, experimental results demonstrated that the system could fully meet the requirements (less than 50 mm) in real-time positioning of the indoor quadrotor UAV flight. It verifies the accuracy and robustness of the proposed method compared with that of Vicon and achieves the aim of a stable indoor flight preliminarily. Vicon positioning error can be considered lower than 2 mm from low to high-speed experiments. After comparison, experimental results demonstrated that the system could fully meet the requirements (less than 50 mm) in real-time positioning of the indoor quadrotor UAV flight. It verifies the accuracy and robustness of the proposed method compared with that of Vicon and achieves the aim of a stable indoor flight preliminarily.
Citation: International Journal of Intelligent Unmanned Systems
PubDate: 2023-05-02
DOI: 10.1108/IJIUS-01-2023-0006
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- Study of jet tabs in 2D convergent–divergent nozzle for thrust
vectoring in aerial vehicles-
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Authors: V.M. Jyothy, G. Jims John Wessley
Abstract: In this study, 2D density-based SST K-turbulence model with compressibility effect is used to observe the flow separation and shock wave interactions of the flow. The wall static pressure and Mach number differences are also evaluated. This study aims to discuss the aforementioned objectives This study outlines the evaluation of the performance of a 2D convergent–divergent nozzle with various triangular jet tab configurations that can be used for effective thrust vectoring of aerial vehicles. From the study, it is seen that the shadow effect induced by the tab with a height of 30% produces higher oblique wave deflection and higher thrust deflection at the exit nozzle. The numerical calculation concluded that thrust vector efficiency of 30% jet tab is, 0.46%. In the case of 10% jet tab height the thrust vector efficiency is higher, i.e. 1.647%. 2D study. The optimization will open up a new focus in TVC that can be implemented for effective attitude control in aircrafts. Used in future aircrafts. The influence of shadowing ratio with different tab heights at different Mach numbers has not been reported in the previous studies. Few of the studies on jet tab are focused on the acoustic studies and not pertaining to the aerodynamic aspects. The multi jet configuration, the combination of location, shapes and other parametric analysis have not been covered in the previous studied.
Citation: International Journal of Intelligent Unmanned Systems
PubDate: 2023-04-19
DOI: 10.1108/IJIUS-11-2022-0131
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- Development of a novel V-frame octocopter: design, kinematic analysis and
simulation using PID controllers with Ziegler Nichols tuning method-
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Authors: Tri Bien Minh, Hien Vo, Luan Thanh Hua
Abstract: The main purpose of the study was mechanical designing, simulation and manufacturing process for a new model of octocopter V-frame and to achieve simple manufacturing with 3D printing technology. Moreover, the octocopter PID controller was simulated on the Simulink environment to get performance on the roll and pitch angle control. Octocopter is one kind of multirotor vehicle (a rotorcraft with more than two rotors), that has lately gained a lot of attention for both the scientific and commercial spheres. With a greater number of rotors, the multirotor is very maneuverable and robust. Multi-copter makes an important contribution to the technological revolution in the military, industry, transportation, mapping and especially agriculture. Nowadays, we are heading to the four-industrial revolutions as well as the new technological application in the agricultural field such as precision agriculture, mapping and surveillance. Due to recently advanced technology about sensors, electronics, 3D printing, battery with high performance, multi-copter can be manufactured at low cost. The V-frame octocopter was chosen to design in this paper; it had better performance scores including high redundancy rotors, high payload capability and affordable cost than another multi-copter family. The V-frame octocopter increasing freedom field of view of the camera was considered to place the camera position in the front of the drone. For the future aspects, the mechanical structure of the octocopter could be improved by using more advanced metal 3D printing to produce the aluminum or titan alloy materials for lighter and more rigid compared with ABS material, and finally the assembly to the real test. The study shows the new platform of the V-frame octocopter kinematics analysis, designed on the CAD software, with some important mechanical parts using FEM analysis to find the highest stress and displacement under high load applied, the result of all connecting the joints 3D printing part is completely safe. Mechanical parts were manufactured by using 3D printing technology and CNC milling. Moreover, the study has shown V-frame octocopter simulation based on Simulink using the second method Ziegler- Nichols to find suitable parameters of the PID controller for roll and pitch angle. Using the block simulation is good for implementing and fast checking the new algorithm when building the new platform of the robot.
Citation: International Journal of Intelligent Unmanned Systems
PubDate: 2023-01-03
DOI: 10.1108/IJIUS-08-2021-0087
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- Modified invasive weed optimization-based path exploration for mobile
robot-
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Authors: Ipsit Kumar Dhal, Saroj Kumar, Dayal R. Parhi
Abstract: This study aims to modify a nature-based numerical method named the invasive weed optimization (IWO) method for mobile robot path planning in various complex environments. The existing IWO method is quick in converging to a feasible solution but in a complex environment; it takes more time as well as computational resources. So, in this paper, the computational part of this artificial intelligence technique is modified with the help of recently developed evolution algorithms like particle swarm optimization, genetic algorithm, etc. Some conditional logic statements were used while doing sensor-based mapping for exploring complex paths. Implementation of sensor-based exploration, mathematical IWO method and prioritizing them for better efficiency made this modified IWO method take complex dynamic decisions. The proposed modified IWO is better for dynamic obstacle avoidance and navigating a long complex map. The deviation of results in simulation and experiments is less than 5.5%, which validates a good agreement between simulation and real-time testing platforms. As per a deep literature review, it has found that the proposed approach has not been implemented on the Khepera-III robot for smooth motion planning. Here a dynamic obstacle mapping feature is implemented. A method to selectively distribute seeds instead of a random normal distribution is also implemented in this work. The modified version of IWO is coded in MATLAB and simulated through V-Rep simulation software. The integration of sensors was done through logical conditioning. The simulation results are validated using real-time experiments.
Citation: International Journal of Intelligent Unmanned Systems
PubDate: 2022-10-07
DOI: 10.1108/IJIUS-03-2022-0026
Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
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- A real-test and simulation combined platform for developing intelligent
tracking control of multirotors-
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Authors: Mohammad Bajelani, Morteza Tayefi, Man Zhu
Abstract: This study aims to minimize the risk of costly failures of flight tests during the path tracking control design, and a noble approach has been proposed in this study to put the whole vehicle-in-the simulation loop. Working with the real system is essential for developing intelligent and data-driven controllers for multirotor drones which needs learning the drones' nonlinear complicated dynamics. The vehicle-in-the-loop (VIL) platform developed in this paper is a safe and effective solution to deal with this problem. To avoid risky flight test during controller design, the multirotor is hinged to a shaft that allows the multirotor's angular motion but restricts translational motion. The test-bed includes the real system attitude dynamics and the simulation of the position dynamics to model the complete flight based on real-time reactions of the vehicle. For the authors' case study, a hexacopter angular motion provides the real-time attitude data in translational motion simulation loop. To test the set-up, a proportional-integral-derivative (PID) and a brain emotional learning-based intelligent controller (BELBIC) is implemented for tracking of circle and 8-shape flight trajectories. The results show that the platform helps the intelligent controller to learn the system dynamics without worrying about the failure in the early stages of the design and in the real-world flight test. Although the hexacopter translational dynamics is modeled in simulation, the authors still have highly accurate attitude dynamics matching the requirement of the control loop design. The comparison of the two controllers also shows that the performance of BELBIC is better than PID in this test. The research background is reviewed in the introduction section. The other sections are originally developed in this paper.
Citation: International Journal of Intelligent Unmanned Systems
PubDate: 2022-10-04
DOI: 10.1108/IJIUS-06-2022-0085
Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
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- Real-time vehicle detection for traffic monitoring by applying a deep
learning algorithm over images acquired from satellite and drone-
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Authors: D.S. Vohra, Pradeep Kumar Garg, Sanjay Ghosh
Abstract: The purpose is to design a system in which drones can control traffic most effectively using a deep learning algorithm. Drones have now started entry into each facet of life. The entry of drones has made them a subject of great relevance in the present technological era. The span of drones is, however, very broad due to various kinds of usages leading to different types of drones. Out of the many usages, one usage which is presently being widely researched is traffic monitoring as traffic monitoring can hover over a particular area. This paper specifically brings out the basic algorithm You Look Only Once (YOLO) which may be used for identifying the vehicles. Consequently, using deep learning YOLO algorithm, identification of vehicles will, therefore, help in easy regulation of traffic in streetlights, avoiding accidents, finding out the culprit drivers due to which traffic jam would have taken place and recognition of a pattern of traffic at various timings of the day, thereby announcing the same through radio (namely, Frequency Modulation (FM)) channels, so that people can take the route which is the least jammed. The study found that the object(s) detected by the deep learning algorithm is almost the same as if seen from a naked eye from the top view. This led to the conclusion that the drones may be used for traffic monitoring, in the days to come, which was not the case earlier. The main research content and key algorithm have been introduced. The research is original. None of the parts of this research paper has been published anywhere.
Citation: International Journal of Intelligent Unmanned Systems
PubDate: 2022-09-19
DOI: 10.1108/IJIUS-06-2022-0077
Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
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- State observer-based model reference adaptive balance control for one-leg
stance-
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Authors: Tri Duc Tran, Van Tu Duong, Hung Huy Nguyen, Tan Tien Nguyen
Abstract: Humanoid robots have been utilized in many fields such as medical, construction, and disaster response. While humanoid robots nowadays can achieve great capabilities, the one-leg balancing task still poses a challenging problem. This paper aims to propose a novel approach to solve the problem. To aid the balance of one leg in humanoid robot, an external balance mechanism is inserted to the back of the humanoid robot. First, a dynamic model of the humanoid robot with balance mechanism and its simplified model are introduced. Second, a backstepping-based control method is utilized to build the proposed controller for one-leg stance system through two steps. For the first step, a minimum observer-based controller with a virtual control input is used to control the first sub-system reaching the desired reference input. For the second step, a virtual control input is considered as a reference input of a second sub-system, then a model reference adaptive controller (MRAC) is employed to control the second sub-system reaching the virtual control input in presence of uncertainties. By using the external balance mechanism, the sideway balancing task is separated from normal walking function. Furthermore, the utilization of the balance mechanism ensures the humanoid robot's hip adduction does not exceed the threshold of a human when walking. Finally, a simulation study is carried out to evaluate the effectiveness of the proposed method. This paper proposes a model reference adaptive control using state observer for balancing one leg of humanoid robot in stance phase that extends our previous research (Tran et al., 2021). The main research contents have been introduced.
Citation: International Journal of Intelligent Unmanned Systems
PubDate: 2022-09-05
DOI: 10.1108/IJIUS-07-2021-0077
Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
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- Linear regression model and least square method for experimental
identification of AMBU bag in simple ventilator-
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Authors: Cong Toai Truong, Kim Hieu Huynh, Van Tu Duong, Huy Hung Nguyen, Le An Pham, Tan Tien Nguyen
Abstract: In the COVID-19 outbreak periods, people's life has been deranged, leading to disrupt the world. Firstly, the number of deaths is growing and has the potential to surpass the highest level at any time. Secondly, the pandemic broke many countries' fortified lines of epidemic prevention and gave people a more honest view of its seriousness. Finally, the pandemic has an impact on life, and the economy led to a shortage in medical, including a lack of clinicians, facilities and medical equipment. One of those, a simple ventilator is a necessary piece of medical equipment since it might be useful for a COVID-19 patient's treatment. In some cases, the COVID-19 patients require to be treated by modern ventilators to reduce lung damage. Therefore, the addition of simple ventilators is a necessity to relieve high work pressure on medical bureaucracies. Some low-income countries aim to build a simple ventilator for primary care and palliative care using locally accessible and low-cost components. One of the simple principles for producing airflow is to squeeze an artificial manual breathing unit (AMBU) iterative with grippers, which imitates the motion of human fingers. Unfortunately, the squeezing angle of grippers is not proportional to the exhaust air volume from the AMBU bag. This paper aims to model the AMBU bag by a mathematical equation that enables to implement on a simple controller to operate a bag-valve-mask (BVM) ventilator with high accuracy performance. This paper provides a curvature function to estimate the air volume exhausting from the AMBU bag. Since the determination of the curvature function is sophisticated, the coefficients of the curvature function are approximated by a quadratic function through the experimental identification method. To obtain the high accuracy performance, a linear regression model and a least square method are employed to investigate the characteristic of the BVM ventilator's grippers angle with respect to the airflow volume produced by the AMBU bag. This paper investigates the correlation between the exhausting airflow of the AMBU bag and the grippers angle of the BVM ventilator. The experimental results validated that the regression model of the characteristic of the exhausting airflow of the AMBU bag with respect to the grippers' angle has been fitted with a coefficient over 98% within the range of 350–750 ml.
Citation: International Journal of Intelligent Unmanned Systems
PubDate: 2022-08-16
DOI: 10.1108/IJIUS-07-2021-0072
Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
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- Computational fluid dynamics (CFD) based propeller design improvement for
high altitude long endurance (HALE) UAV-
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Authors: Fatwa Azam Maulana, Ema Amalia, Mochammad Agoes Moelyadi
Abstract: High Altitude Long Endurance Unmanned Aerial Vehicle (HALE UAV) driven by a hybrid power between battery and solar panel have attracted many researchers. The HALE UAV which develops at Bandung Institute of Technology has design requirements of a 63 kg MTOW with a cruise velocity of 22.1 m/s at an altitude of 60,000 ft propelled by two propellers. The main problems that arise with the propellers gained from the market are these propellers cannot operate properly at the cruise phase due to inadequate thrust and high drag value. This paper aims to design a propeller that solves those problems. The Larrabee method is used to design this propeller geometry with an output in the form of a chord and twist distribution. The CFD approach method is used to improve the design resulting from the Larrabee method. This study shows that the inputted thrust value of the propeller designed using the Larrabee method is always higher than the thrust value resulting from the CFD simulation with a difference of around 20% so a design improvement process using CFD is required. The analysis of propeller implementation in various mission profiles shows that this propeller can operate fully from climbing at sea level to cruising flight at an altitude of 60,000 ft. The same procedure can be applied in other HALE UAV cases to generate a propeller design with different objectives.
Citation: International Journal of Intelligent Unmanned Systems
PubDate: 2022-07-25
DOI: 10.1108/IJIUS-07-2021-0078
Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
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- Intelligent personal assistant for personal computers using long
short-term memory-based verbalizer-
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Authors: Iwin Thanakumar Joseph Swamidason, Sravanthy Tatiparthi, Karunakaran Velswamy, S. Velliangiri
Abstract: An intelligent personal assistant for personal computers (PCs) is a vital application for the current generation. The current computer personal assistant services checking frameworks are not proficient at removing significant data from PCs and long-range informal communication information. The proposed verbalizers use long short-term memory to classify the user task and give proper guidelines to the users. The outcomes show that the proposed method determinedly handles heterogeneous information and improves precision. The main advantage of long short-term memory is that handle the long-term dependencies in the input data. The proposed model gives the 22% mean absolute error. The proposed method reduces mean square error than support vector machine (SVM), convolutional neural network (CNN), multilayer perceptron (MLP) and K-nearest neighbors (KNN). This paper fulfills the necessity of intelligent personal assistant for PCs using verbalizer.
Citation: International Journal of Intelligent Unmanned Systems
PubDate: 2022-07-05
DOI: 10.1108/IJIUS-02-2022-0012
Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
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- Analytical review on deep learning and IoT for smart healthcare monitoring
system-
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Authors: Sangeetha Yempally, Sanjay Kumar Singh, S. Velliangiri
Abstract: Selecting and using the same health monitoring devices for a particular problem is a tedious task. This paper aims to provide a comprehensive review of 40 research papers giving the Smart health monitoring system using Internet of things (IoT) and Deep learning. Health Monitoring Systems play a significant role in the healthcare sector. The development and testing of health monitoring devices using IoT and deep learning dominate the healthcare sector. In addition, the detailed conversation and investigation are finished by techniques and development framework.
Authors have identified the research gap and presented future research directions in IoT, edge computing and deep learning. The gathered research articles are examined, and the gaps and issues that the current research papers confront are discussed. In addition, based on various research gaps, this assessment proposes the primary future scope for deep learning and IoT health monitoring model.
Citation: International Journal of Intelligent Unmanned Systems
PubDate: 2022-06-07
DOI: 10.1108/IJIUS-02-2022-0019
Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
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- An intelligent optimization technique for performance improvement in
radial distribution network-
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Authors: Rafi Vempalle, Dhal Pradyumna Kumar
Abstract: The demand for electricity supply increases day by day due to the rapid growth in the number of industries and consumer devices. The electric power supply needs to be improved by properly arranging distributed generators (DGs). The purpose of this paper is to develop a methodology for optimum placement of DGs using novel algorithms that leads to loss minimization. In this paper, a novel hybrid optimization is proposed to minimize the losses and improve the voltage profile. The hybridization of the optimization is done through the crow search (CS) algorithm and the black widow (BW) algorithm. The CS algorithm is used for finding some tie-line systems, DG locations, and the BW algorithm is used for finding the rest of the tie-line switches, DG sizes, unlike in usual hybrid optimization techniques. The proposed technique is tested on two large-scale radial distribution networks (RDNs), like the 119-bus radial distribution system (RDS) and the 135 RDS, and compared with normal hybrid algorithms. The main novelty of this hybridization is that it shares the parameters of the objective function. The losses of the RDN can be minimized by reconfiguration and incorporating compensating devices like DGs.
Citation: International Journal of Intelligent Unmanned Systems
PubDate: 2022-06-06
DOI: 10.1108/IJIUS-04-2022-0052
Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
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- Predicting arrhythmia, atrial fibrillation from electrocardiogram signals
using Pivot Range Fitness Scale-Based Machine Learning Model-
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Authors: Sreedhar Jyothi, Geetanjali Nelloru
Abstract: Patients having ventricular arrhythmias and atrial fibrillation, that are early markers of stroke and sudden cardiac death, as well as benign subjects are all studied using the electrocardiogram (ECG). In order to identify cardiac anomalies, ECG signals analyse the heart's electrical activity and show output in the form of waveforms. Patients with these disorders must be identified as soon as possible. ECG signals can be difficult, time-consuming and subject to inter-observer variability when inspected manually. There are various forms of arrhythmias that are difficult to distinguish in complicated non-linear ECG data. It may be beneficial to use computer-aided decision support systems (CAD). It is possible to classify arrhythmias in a rapid, accurate, repeatable and objective manner using the CAD, which use machine learning algorithms to identify the tiny changes in cardiac rhythms. Cardiac infractions can be classified and detected using this method. The authors want to categorize the arrhythmia with better accurate findings in even less computational time as the primary objective. Using signal and axis characteristics and their association n-grams as features, this paper makes a significant addition to the field. Using a benchmark dataset as input to multi-label multi-fold cross-validation, an experimental investigation was conducted. This dataset was used as input for cross-validation on contemporary models and the resulting cross-validation metrics have been weighed against the performance metrics of other contemporary models. There have been few false alarms with the suggested model's high sensitivity and specificity. The results of cross validation are significant. In terms of specificity, sensitivity, and decision accuracy, the proposed model outperforms other contemporary models.
Citation: International Journal of Intelligent Unmanned Systems
PubDate: 2022-04-22
DOI: 10.1108/IJIUS-11-2021-0140
Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
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- Hybrid adaptive control for series elastic actuator of humanoid robot
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Authors: Luu Anh Khoa Lanh, Van Tu Duong, Huy Hung Nguyen, Sang Bong Kim, Tan Tien Nguyen
Abstract: Generally, humanoid robots usually suffer significant impact force when walking or running in a non-predefined environment that could easily damage the actuators due to high stiffness. In recent years, the utilization of passive compliant series elastic actuators (SEA) for driving humanoid's joints has proved the capability in many aspects so far. However, despite being widely applied in the biped robot research field, the stable control problem for a humanoid powered by the SEAs, especially in the walking process, is still a challenge. This paper proposes a model reference adaptive control (MRAC) combined with the back-stepping algorithm to deal with the parameter uncertainties in a humanoid's lower limb driven by the SEA system. This is an extension of our previous research (Lanh et al., 2021). Firstly, a dynamic model of SEA is obtained. Secondly, since there are unknown and uncertain parameters in the SEA model, a Model Reference Adaptive Controller (MRAC) is employed to guarantee the robust performance of the humanoid's lower limb. Finally, an experiment is carried out to evaluate the effectiveness of the proposed controller and the SEA mechanism. This paper proposes an effective control algorithm that can be widely applied for the humanoid-SEA system. Besides, the effect of the coefficients in the control law is analyzed to further improve the response's quality. Even though the simulation shows good results with stable system response, the practical experiment has not been implemented to fully evaluate the quality of the controller. The MRAC is applied to control the humanoid's lower limb and the back-stepping process is utilized to combine with an external SEA system but still maintain stabilization. The simplified model of the lower-limb system proposed in the paper is proven to be appropriate and can be taken for further research in the future.
Citation: International Journal of Intelligent Unmanned Systems
PubDate: 2022-03-16
DOI: 10.1108/IJIUS-07-2021-0071
Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
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- Microstructure investigations and optimisation of maraging steel parts for
UAV applications-
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Authors: Rama Pavan Kumar Varma Indukuri, Rama Murty Raju Penmetsa, Srinivasa Rao Chalamalasetti, Rajesh Siriyala
Abstract: Military and unmanned aerial vehicles (UAV) applications like rocket motor casings, missile covers and ship hulls use components that are made of maraging steel. Maraging steel has properties that are superior to other metals, making it more suitable for the fabrication of such components. A grey relational analysis (GRA) that is based on the Taguchi method has been utilised in the current study to optimise a laser beam welding (LBW) process. Further aspects such as GRA's optimum ranges and percentage contributions were also estimated. A Taguchi L16 orthogonal array is utilised to design and conduct the experiments. Laser power (LP), welding speed (WS) and focal position (FP) are the three parameters are chosen for the process of welding. The output responses are the upper width of the heat-affected zone (HAZup), the upper width of the fusion zone (FZup) and the depth of penetration (DOP). The effect of the above key parameters on the responses was examined using an analysis of variance (ANOVA). The results of ANOVA reveal that the parameter that has the most influence on the overall grey relational grade (GRG) is the FP. Finally, metallographic characterisation and a microstructural analysis are conducted on the weld bead geometry to demarcate the zone of HAZ and fusion zone (FZ). As the most important criteria for LBW of maraging steels is the provision of higher DOP, higher FZ width and lower heat-affected zone, the study intended to prove the applicability of GRA technique in solving multi-objective optimisation problems in applications like defence and unmanned systems.
Citation: International Journal of Intelligent Unmanned Systems
PubDate: 2022-02-24
DOI: 10.1108/IJIUS-11-2021-0136
Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
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- Aerodynamic and structural performances of a single-stage transonic axial
compressor with blade fillet radius-
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Authors: Hoang-Quan Chu, Cong-Truong Dinh
Abstract: This study’s investigation aims to clarify the effect of an additional geometry, i.e. a fillet radius, to the blades of a single-stage transonic axial compressor, NASA Stage 37, on its aerodynamic and structural performances. Applying the commercial simulation software and the one-way fluid–structure interaction (FSI) approach, this study first evaluated the simulation results with the experimental data for the aerodynamic performances. Second, this paper compared the structural performances between the models with and without fillets. This research analyses the aerodynamic results (i.e. total pressure ratio, adiabatic efficiency, stall margin) and the structural outcomes (i.e. equivalent von Mises stress, total deformation) of the single-stage transonic axial compressor NASA Stage 37. This paper mentions the influence of blade fillets (i.e. both rotor hub fillet and stator shroud fillet) on the compressor performances (i.e. the aerodynamic and structural performances).
Citation: International Journal of Intelligent Unmanned Systems
PubDate: 2022-02-02
DOI: 10.1108/IJIUS-07-2021-0069
Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
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- Numerical study of aerodynamic performance and flow characteristics of a
centrifugal blower-
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Authors: Thanh-Long Le, Tran Trung Nghia, Hong Duc Thong, Mai Hoang Kim Son
Abstract: This paper aims to focus on the effect of the operating condition such as the impeller speed on the centrifugal fan performance and flow characteristics. The ability to predict the behavior of the airflow motion in a centrifugal blower is essential for obtaining the topology optimization design. A physical model of the air blower consisting of these main parts in a blower system: collector, impeller, outlet flange and volute casing, and the appropriate boundary conditions are set up by ANSYS software. Computation fluid dynamics are performed for the numerical analysis. The calculation of blower performance parameters such as total pressure, efficiency and flow rate is based on the Reynolds averaged Navier–Stokes equations and k-εturbulence flow model. The numerical results show that the change in operating conditions has a significant effect on the blower performance, and the pressure maintained inside the blower is higher for a larger impeller rotational speed. This work is original and has not yet been submitted to elsewhere or published previously.
Citation: International Journal of Intelligent Unmanned Systems
PubDate: 2022-02-01
DOI: 10.1108/IJIUS-07-2021-0076
Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
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- Unmanned aerial vehicles in the construction industry - Towards a protocol
for safe preparation and flight of drones
Open Access Article-
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Authors: Mariusz Szóstak, Tomasz Nowobilski, Abdul-Majeed Mahamadu, David Caparrós Pérez
Abstract: Unmanned aerial vehicles (UAV), colloquially called drones, are widely applied in many sectors of the economy, including the construction industry. They are used for building inspections, damage assessment, land measurements, safety inspections, monitoring the progress of works, and others. The study notes that UAV pose new, and not yet present, risks in the construction industry. New threats arise, among others, from the development of new technologies, as well as from the continuous automation and robotization of the construction industry. Education regarding the safe use of UAV and the proper use of drones has a chance to improve the safety of work when using these devices. The procedure (protocol) was developed for the correct and safe preparation and planning of an unmanned aerial vehicle flight during construction operations. Based on the analysis of available sources, no such complete procedure has yet been developed for the correct, i.e. compliant with applicable legal regulations and occupational health and safety issues, preparation for flying UAV. The verification and validation of the developed flight protocol was performed on a sample of over 100 different flight operations.
Citation: International Journal of Intelligent Unmanned Systems
PubDate: 2022-09-13
DOI: 10.1108/IJIUS-05-2022-0063
Issue No: Vol. 11, No. 2 (2022)
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- Optimal design of artificial bee colony based UAV routing (ABCUR)
algorithm for healthcare applications-
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Authors: J. Vijitha Ananthi, P. Subha Hency Jose
Abstract: To avoid this situation, the authors proposed an optimal artificial bee colony algorithm-based Unmanned Aerial Vehicle (UAV) routing algorithm for efficient data communication between doctors and patients. This proposed method worked in three stages. In recent decades, wireless body area networks have played an important role in health care applications. It facilitates the transmission of the patients' health data analysis report to the appropriate doctors. In the first phase, biological sensors are connected to the human body via a controller node and collected data is transmitted via Bluetooth to the Personal Device Assistant (PDA). In the second phase, collected data will be transmitted via the Internet of things using an artificial bee colony algorithm. The second aids in determining the best route. In the third phase, unmanned aerial vehicles will use the best path to send collected data to doctors, caregivers, ambulances and cloud storage servers. The simulation results show that the network's performance is superior when compared to existing approaches. The proposed algorithm achieves a high throughput, a lower delay, a higher link rate and a higher delivery rate.
Citation: International Journal of Intelligent Unmanned Systems
PubDate: 2022-05-18
DOI: 10.1108/IJIUS-08-2021-0099
Issue No: Vol. 11, No. 2 (2022)
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- Group movement of UAVs in environment with dynamic obstacles: a survey
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Authors: Valeriia Izhboldina, Igor Lebedev
Abstract: The successful application of the group of unmanned aerial vehicles (UAVs) in the tasks of monitoring large areas is becoming a promising direction in modern robotics. This paper aims to study the tasks related to the control of the UAV group while performing a common mission. This paper discusses the main tasks solved in the process of developing an autonomous UAV group. During the survey, five key tasks of group robotics were investigated, namely, UAV group control, path planning, reconfiguration, task assignment and conflict resolution. Effective methods for solving each problem are presented, and an analysis and comparison of these methods are carried out. Several specifics of various types of UAVs are also described. The analysis of a number of modern and effective methods showed that decentralized methods have clear advantages over centralized ones, since decentralized methods effectively perform the assigned mission regardless of on the amount of resources used. As for the method of planning the group movement of UAVs, it is worth choosing methods that combine the algorithms of global and local planning. This combination eliminates the possibility of collisions not only with static and dynamic obstacles, but also with other agents of the group. The results of scientific research progress in the tasks of UAV group control have been summed up.
Citation: International Journal of Intelligent Unmanned Systems
PubDate: 2022-03-04
DOI: 10.1108/IJIUS-06-2021-0038
Issue No: Vol. 11, No. 2 (2022)
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- Aerodynamic and flight dynamic parametric studies of a flapping wing
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Authors: Tandralee Chetia, Dhayalan Rajaram, Kumaran G. Sreejalekshmi
Abstract: Flapping-wing vehicles show various advantages as compared to fixed wing vehicles, making flapping-wing vehicles' study necessary in the current scenario. The present study aims to provide guidelines for fixing geometric parameters for an initial engineering design by a simple aerodynamic and flight dynamic parametric study. A mathematical analysis was performed to understand the aerodynamics and flight dynamics of the micro-air vehicle (MAV). Only the forces due to the flapping wing were considered. The flapping motion was considered to be a combination of the pitching and plunging motion. The geometric parameters of the flapping wing were varied and the aerodynamic forces and power were observed. Attempts were then made to understand the flight stability envelope of the MAV in a forward horizontal motion in the vertical plane with similar parametric studies as those conducted in the case of aerodynamics. From the aerodynamic study, insights were obtained regarding the interaction of design parameters with the aerodynamics and feasible ranges of values for the parameters were identified. The flapping wing was found to have neutral static stability. The flight dynamic analysis revealed the presence of an unstable oscillatory mode, a stable fast subsidence mode and a neutral mode, in the forward flight of the MAV. The presence of unstable modes highlighted the need for active control to restore the MAV to equilibrium from its unstable state. The study does not take into account the effects of control surfaces and tail on the aerodynamics and flight dynamics of the MAV. There is also a need to validate the results obtained in the study through experimental means which shall be taken up in the future. The parametric study helps us to understand the extent of the impact of the design parameters on the aerodynamics and stability of the MAV. The analysis of both aerodynamics and dynamic stability provides a holistic picture for the initial design. The study incorporates complex mathematical equations and simplifies such to understand the aerodynamics and flight stability of the MAV from an engineering perspective. The study adds to already existing knowledge on the design procedures of a flapping wing.
Citation: International Journal of Intelligent Unmanned Systems
PubDate: 2022-02-01
DOI: 10.1108/IJIUS-06-2021-0039
Issue No: Vol. 11, No. 2 (2022)
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