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32nd Mediterranean Conference on control and automation, MED 2024

作者： Knorn, Steffi Garone, Anja Varagnolo, Damiano Garone, Emanuele Technische Universität Department of Control Berlin Germany Brussels Institute for Advanced Studies Belgium Norwegian University of Science and Technology Department of Engineering Cybernetics Norway University of Padova Department of Information Engineering Italy Free University of Brussels Department of Automation and Systems Analysis Belgium

ISBN: (纸本)9798350395440

We discuss two specific issues that affected the workflows in our career as automatic control teachers and that are related to how teachers may establish teaching-oriented collaborations with colleagues from the same or different institutions. The first issue we identify is the systematic difficulty that one encounters when wanting to exchange instructional material with colleagues, while the second is the complexity of establishing students exchange programs across different institutions and nations. We discuss the nature and structure of the two problems, discuss why and how they are connected, and draw practical examples of how these problems may affect workflows. We then present a strategy that aims at solving these issues based on the introduction of an opportune indexing of instructional material in terms of contents and complexity of such contents, and how this information may be graphically displayed so to ease human and machine interpretability. We further discuss how this approach was used on a smaller scale to ease collaborations among close colleagues, and how it may be extended and adopted on a larger scale. © 2024 IEEE.

关键词： Process control

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A Distributed Cooperative Tracking Algorithm for the Interception of Small Patrol UAVs 42

A Distributed Cooperative Tracking Algorithm for the Interce...

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42nd Chinese control Conference, CCC 2023

作者： Yang, Haorui Liu, Yinghan Zhang, Jiawei Wang, Hui Xu, Hanhui School of Aerospace Engineering Beijing Institute of Technology Beijing100081 China School of Automation Beijing Institute of Technology Beijing100081 China Institute of Navigation and Control Technology Control Department Beijing100089 China

ISBN: (纸本)9789887581543

In this paper, a distributed cooperative tracking algorithm is proposed for the small patrol UA V target tracking problem. By setting up a sensor network to realize the communication between missile clusters, we introduce a weighted information fusion and distribution method for multiple sensor nodes. Meanwhile, a trajectory shaping guidance law is derived for the three-dimensional space maneuver target striking problem. In the scenario of multi-missile UA V target interception, the simulation of multi-missile tracking and the striking process is completed to achieve accurate estimation of target position, velocity, and acceleration. The effectiveness and superiority of this cooperative tracking algorithm are verified through extensive simulations and comparisons. © 2023 Technical Committee on control Theory, Chinese Association of automation.

关键词： Sensor nodes

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Fixed-Time Sliding Mode control for Air-Floating Robot Using Actor-Critic Learning Structure 49

Fixed-Time Sliding Mode Control for Air-Floating Robot Using...

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49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023

作者： Zhang, Weilun Li, Li Shao, Zhijie Xu, Xingguo Ma, Guangcheng Xia, Hongwei Harbin Institute of Technology Department of Control Science and Engineering Harbin China College of New Energy Harbin Institute of Technology Weihai China Shanghai Aerospace Control Technology Institute Shanghai201109 China Aerospace System Engineering Shanghai Shanghai201109 China

ISBN: (纸本)9798350331820

A fixed-time sliding mode controller is developed for the three-degree-of-freedom air-floating robot (AFR) in the presence of model uncertainties and external disturbances. By dynamics transformation, the complex nonlinear AFR dynamics are transformed into a second-order feedback decoupling model. A neural network enhanced by actor-critic learning structure is designed to handle model uncertainties, and the nonsingular fast terminal sliding mode controller can ensure all signals in the closed-loop system converge to a residual set around the origin within a fixed time. The system stability is proved by Lyapunov theory and the simulation results show the effectiveness of the proposed scheme. © 2023 IEEE.

关键词： system stability

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Intermittent control for Fixed-Time Synchronization of Coupled Networks

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IEEE/CAA Journal of Automatica Sinica 2023年第6期10卷 1488-1490页

作者： Yongbao Wu Ziyuan Sun Guangtao Ran Lei Xue the School of Automation Southeast UniversityNanjing 210096China the Department of Applied Mathematics University of WaterlooOntario N2J 4N3Canada the Department of Control Science and Engineering Harbin Institute of TechnologyHarbin 150001China

Dear Editor, This letter deals with fixed-time synchronization(Fd-TS) of complex networks(CNs) under aperiodically intermittent control(AIC)for the first time. The average control rate and a new Lyapunov function are ... 详细信息

关键词： synchronization Synchronization overcome

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Reinforcement Learning Behavioral control for Nonlinear Autonomous system

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IEEE/CAA Journal of Automatica Sinica 2022年第9期9卷 1561-1573页

作者： Zhenyi Zhang Zhibin Mo Yutao Chen Jie Huang the College of Electrical Engineering and Automation Fuzhou UniversityFuzhou 350108 the Key Laboratory of Industrial Automation Control Technology and Information Processing Education Department of Fujian ProvinceFuzhou 350108 G+Industrial Internet Institute Fuzhou UniversityFuzhou 350108China

Behavior-based autonomous systems rely on human intelligence to resolve multi-mission conflicts by designing mission priority rules and nonlinear *** this work,a novel twolayer reinforcement learning behavioral control(RLBC)method is proposed to reduce such dependence by trial-and-error ***,in the upper layer,a reinforcement learning mission supervisor(RLMS)is designed to learn the optimal mission *** with existing mission supervisors,the RLMS improves the dynamic performance of mission priority adjustment by maximizing cumulative rewards and reducing hardware storage demand when using neural *** the lower layer,a reinforcement learning controller(RLC)is designed to learn the optimal control *** with existing behavioral controllers,the RLC reduces the control cost of mission priority adjustment by balancing control performance and *** error signals are proved to be semi-globally uniformly ultimately bounded(SGUUB).Simulation results show that the number of mission priority adjustment and the control cost are significantly reduced compared to some existing mission supervisors and behavioral controllers,respectively.

关键词： Behavioral control mission supervisor nonlinear autonomous system reinforcement learning

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Optimizing Maximum Profit for Electric Vehicle Users in a Bipolar DC Distribution Grid with Probabilistic EV Load Demand and V2G Integration 12

Optimizing Maximum Profit for Electric Vehicle Users in a Bi...

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12th International Electrical engineering Congress, iEECON 2024

作者： Sakulphaisan, Guntinan Son-In, Sirirat Junhuathon, Nitikorn Pathumwan Institute Of Technology Industrial Technology And Innovation Management Faculty Of Science And Technology Bangkok Thailand Bansomdejchaopraya Rajabhat University Electrical Engineering And Automation Control Systems Faculty Of Engineering And Industrial Technology Bangkok Thailand Rajamangala University Of Technology Thanyaburi Faculty Of Engineering Department Of Electrical Engineering Pathumthani Thailand

ISBN: (纸本)9798350383591

This article delves into the synergistic potential of integrating Bipolar DC distribution grids, Probabilistic EV load demand forecasting, and Vehicle-to-Grid (V2G) technology. It offers a blueprint for electric vehicle (EV) users to smartly improve their financial results. Through the amalgamation of these components, individuals who possess electric vehicles have the potential to mitigate their energy expenditures while concurrently generating additional income. The study reveals that the integration of EV into the distribution system can lead to a substantial increase in daily energy loss, reaching up to 25.91%. However, when V2G technology is employed within the distribution grid, it has the remarkable capability to mitigate this increase in daily energy loss significantly, achieving a reduction of up to 64.12%. © 2024 IEEE.

关键词： Integration

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Development of a Bio-inspired Tailless FWMAV with High-Frequency Flapping Wings Trajectory Tracking control

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Journal of Bionic engineering 2024年第5期21卷 2145-2166页

作者： Qingcheng Guo Chaofeng Wu Yichen Zhang Feng Cui Wu Liu Xiaosheng Wu Junguo Lu National Key Laboratory of Advanced Micro and Nano Manufacture Technology Shanghai Jiao Tong UniversityShanghai200240China Department of Micro/Nano Electronics School of Electronic Information and Electrical EngineeringShanghai Jiao Tong UniversityShanghai200240China Department of Automation Shanghai Jiao Tong UniversityShanghai200240China The Key Laboratory of System Control and Information Processing Ministry of Education of ChinaShanghai200240China

The development of a tailless Flapping Wing Micro Aerial Vehicle(FWMAV)inspired by the hummingbird is presented in this *** implementing mechanical simplifications,it is possible to use planar machining technology for manufacturing of the FWMAV’s body,greatly reducing assembly ***,studies on flapping wing aircraft are limited to open-loop wing kinematics *** this work,an instantaneous closed-loop wing trajectory tracking control system is introduced to minimize wings’trajectory tracking *** control system is based on Field-Oriented control(FOC)with a loop shaping compensation technique near the flapping *** frequency analysis,the loop shaping compensator ensures the satisfactory bandwidth and performance for the closed-loop flapping *** implement the proposed controller,a compact autopilot board integrated with FOC hardware is designed,weighing only 2.5 *** utilizing precise wing trajectory tracking control,the hummingbird-inspired FWMAV demonstrates superior ability to resist external disturbances and exhibits reduced attitude tracking errors during hovering flight compared to the open-loop wing motion.

关键词： Flapping Wing Micro Aerial Vehicle(FWMAV) Bio-inspired robotics Trajectory control Loop shaping compensator Field-Oriented control(FOC)

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Neural Network Approaches for Magnetization Surface Prediction in Switched Reluctance Motors: Classical, Radial Basis Function, and Physics-Informed Models 3

Neural Network Approaches for Magnetization Surface Predicti...

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3rd IEEE International Conference on Problems of Informatics, Electronics and Radio engineering, PIERE 2024

作者： Demidova, Galina Bogdanov, Andrey Iaremenko, Andrei Xirong, Zhu Chen, Hao Anuchin, Alecksey Moscow Power Engineering Institute Electric Drive Department Moscow Russia Itmo University Faculty of Control System and Robotics Saint-Petersburg Russia School of Electrical and Power Engineering China University of Mining and Technology Xuzhou China

ISBN: (纸本)9798331516321

This paper investigates the prediction of magnetization surfaces in Switched Reluctance Motors using three distinct methods: classical Neural Networks, Radial Basis Function networks, and Physics-Informed Neural Networks. The study utilizes experimental data from a 7.5 kW SRM to assess the performance of these approaches, with all methods implemented in Python. Among the methods analyzed, PINN demonstrates the highest accuracy in predicting the magnetization surfaces, effectively capturing the underlying physical behavior of the motor. The computational costs of each method are evaluated, providing insights into training times, inference speeds, and floating-point operations per sample. The findings reveal that while NN offers a reasonable balance between performance and efficiency, the RBF method excels in training speed but shows limitations in capturing the physical dynamics of the system. In contrast, the PINN not only delivers superior predictive performance but also emphasizes the significance of incorporating physical principles into machine learning frameworks. The results highlight the applicability of these methods across various types of SRMs, suggesting their potential for enhancing control strategies in electrical and power engineering applications. © 2024 IEEE.

关键词： Radial basis function networks

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Angle Tracking control Strategy for Steering-by-Wire system with Dual Steering Actuator Motors 41

Angle Tracking Control Strategy for Steering-by-Wire System ...

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第41届中国控制会议

作者： Xuhang Zhang Linhui Zhao Guohuang Ji Zhiyuan Liu Department of Control Science and Engineering Harbin Institute of Technology Intelligent Power System Co. Ltd.

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Steering-by-wire(SBW) is a key technology to realize angle tracking for autonomous vehicles,and it directly affects the performance of active *** reliability performance of SBW system can be greatly improved by adopting dual motor steering ***,the dual-motor SBW vehicle often loses its stability due to the external interference,and the asynchronous response between the dual steering actuator motors will further deteriorate the stability of the *** purpose of this paper is to establish a method of angle tracking for the dual-motor steering by wire ***,the model of SB W was established and its validity was proofed by comparing the steering performance between the SBW and the traditional mechanical steering ***,by considering parameters uncertainties and difference of wheel load torque of the dual steering actuator motors,the steering angle tracking control strategy of dual motor SBW was *** paper established methods for the synchronization control of dual motor and closed-loop control of angle *** the angle synchronization error was decreased by current compensation *** validation results show that the proposed control strategy can decrease the synchronization error of dual motor and ensure the reliability of angle tracking.

关键词： Steering-by-wire Dual-motor Angle tracking Synchronization control

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A novel 3D-Space Vector Modulation for Three single-phase combined 400Hz Ground Power Unit 12

A novel 3D-Space Vector Modulation for Three single-phase co...

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12th IEEE International Conference on control, automation and Information Sciences, ICCAIS 2023

作者： Que, Son Tran Van Diep, Huynh Dich, Nguyen Quang Trung, Nguyen Kien Hanoi University of Science and Technology Institute for Control Engineering and Automation Ha Noi Viet Nam Hanoi University of Science and Technology Department of Industrial Automation Ha Noi Viet Nam

ISBN: (纸本)9798350328783

The three single-phase combined (TSC) topology has been ruling the power converter industries for many years. In this research, TSC topology with Lithium Battery DC source is proposed for 400Hz Ground Power Unit (GPU) due to its advantages particularly in increasing the system flexibility and reliability. Sinusoidal Pulse Width Modulation (SPWM) is one of the most viable PWM techniques for inverter, however, it is shown that SPWM has no good contribution on three phase control system, hence, Space Vector Modulation (SVM) technique is now more widely used. This paper proposes a novel effectual three-dimensional Space Vector Modulation (3D-SVM) technique for three single-phase combined inverter, which can provide up to 27 switching states, expanding the possible range to find the best decision boundary to compare with traditional SPWM. The effectiveness of the proposed method is verified through MATLAB simulations. © 2023 IEEE.

关键词： Topology

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