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International Conference on Guidance, Navigation and control, ICGNC 2022

作者： Runhao, Cui Diyin, Tang Bin, Chen School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Beijing Institute of Control Engineering Beijing100094 China

ISBN: (纸本)9789811966125

This paper presents a digital twin modeling approach for aerospace control moment gyro (CMG). The proposed modeling approach is on the basis of energy balance theory with the physical mechanism in order to analyze the degradation of CMG components. Firstly, a CMG digital twin (DT) energy model is established, which combines the energy consumption of each CMG unit. Next, the CMG degradation parameters are extracted through detailing the power loss of subsystems. Finally, by using CMG simulation data, the effectiveness and validity of the digital twin model are verified. The proposed digital twin model can be a useful tool for analyzing CMG degradation mechanism, and supporting anomaly detection and remaining useful life (RUL) prediction. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Energy utilization

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Research on Fault Arc Detection Method Based on Multivariate Criterion 8

Research on Fault Arc Detection Method Based on Multivariate...

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8th International Conference on Power and Renewable Energy, ICPRE 2023

作者： Guo, Mengqian Chen, Li'An Jiang, Yongxin Huang, Bin Xiamen University of Technology School of Electrical Engineering and Automation Xiamen China Xiamen University of Technology School of Electrical Engineering and Automation Xiamen Key Laboratory of Frontier Electric Power Equipment and Intelligent Control Xiamen China

ISBN: (纸本)9798350328813

Aiming at the problem of misjudgment according to the detection of single fault arc characteristics, in this paper, the Matlab/Simulink platform was used to build a fault arc circuit simulation model for linear, nonlinear and mixed loads, according to the zero-break time and fault characteristics of high-frequency harmonics of fault arc current obtained by simulation results, a fault arc detection method based on zero-break time scale coefficient based on zero-break feature and multivariate criterion based on DB3 wavelet decomposition detail component scale coefficient was proposed. The simulation results show that the proposed method is effective for identifying linear loads, nonlinear loads and partial mixed loads recommended in GB14287.4. © 2023 IEEE.

关键词： arc fault DB3 wavelets multivariate criterion

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Analysis of Predictive Current Regulator for High-Speed IPMSM Operating at Low Sampling to Fundamental Frequency Ratios

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IEEE Transactions on Industry Applications 2025年

作者： Mon-Nzongo, D.L. Lin, Shengyu Ipoum-Ngome, P.G. Jin, Tao Lai, Chunyan School of Electrical Engineering and Automation Fuzhou China Concordia University Department of Electrical Engineering and Computer Engineering Montreal Canada Fuzhou University School of Electrical Engineering and Automation Fuzhou350116 China

At low sampling to fundamental frequency ratios (SFRs), the time delay and current sampling error deteriorate the performances of the current regulator. Therefore, this paper proposes a comprehensive analysis and a tuning method of the PI controller and Internal Model controller (IMC) with one-step current prediction (OCP) operating under low SFRs. The tuning method analyzes the migration of the closed-loop poles with the electrical speed change and selects the optimal control parameters to improve the system's performance. To enhance the disturbance rejection of the IMC approach, a novel active resistance is also proposed. Simulation and experimental results performed on an interior permanent magnet synchronous motor (IPMSM) have successfully validated the proposed methods. The results show that, the conventional PI design with OCP results in acceptable decoupling and dynamic performances at a minimum SFR of 7.5. While the proposed IMC approach still retains its stability and dynamic performances both at SFR of 7.5 and 5. For disturbance rejection, only the proposed IMC design can achieve enhanced performance at low SFRs. © 1972-2012 IEEE.

关键词： Disturbance rejection

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Event-Triggered Extended Dissipative FTB for T-S Fuzzy Switched Systems With Mismatched Phenomena and Deception Attacks: A Multidomain Framework

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IEEE Transactions on Cybernetics 2024年第9期54卷 4928-4938页

作者： Chen, Haiyang Zong, Guangdeng Su, Shun-Feng Gao, Fangzheng Tiangong University School of Control Science and Engineering Tianjin300387 China Nanjing Institute of Technology School of Automation Jiangsu Collaborative Innovation Center for Smart Distribution Network Nanjing211167 China National Taiwan University of Science and Technology Department of Electrical Engineering Taipei106 Taiwan Nanjing Institute of Technology School of Automation Nanjing211167 China

This article investigates the extended dissipative finite-time boundedness (ED-FTB) problem for fuzzy switched systems under deception attacks. To improve the network resource efficiency, a multidomain probabilistic event-triggered mechanism (MDPETM) is proposed. The mode mismatched phenomenon is modeled based on the switching delay information between the controller mode and the system mode. To extract the true signal generated by the MDPETM, a virtual delay concept is developed. The constraint that the controller and the system must have the same premise variables is removed. Based on the MDPETM, mismatched fuzzy state feedback controllers are first devised which may not share the same modes with the system. Then, by establishing fuzzy basis and controller mode-dependent Lyapunov functionals, sufficient criteria free of nonlinear terms existing in the literature are derived, which ensure the ED-FTB of the closed-loop system under admissible delays and deception attacks. Finally, an application-oriented one-link robotic arm system is utilized to validate the theoretical results. © 2013 IEEE.

关键词： controllers

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A Multi-party Asymmetric Self-play Algorithm and Its Application in Multi-USV Adversarial Game Simulations 24

A Multi-party Asymmetric Self-play Algorithm and Its Applica...

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2024 International Conference on Machine Learning, Pattern Recognition and automation engineering, MLPRAE 2024

作者： Rao, Jinjun Wang, Cong Liu, Mei Lei, Jingtao Giernacki, Wojciech Department of Precision Mechanical Engineering School of Mechatronic Engineering and Automation Shanghai University China Institute of Robotics and Machine Intelligence Faculty of Automatic Control Robotics and Electrical Engineering Poznan University of Technology Poland

ISBN: (纸本)9798400709876

Aiming at the problem that the combination of self-play (SP) and deep reinforcement learning (DRL) only involves two-party games and the policy learning of each party is limited, a multi-party asymmetric self-play algorithm (MASP) is proposed. Firstly, by improving the ELO scoring system, the ELO scoring takes into account each party of the unmanned surface vehicle (USV) clusters, and the imbalance of the number of USV clusters, so that the frequency of exchanging strategies of all USV clusters in the confrontation process is equal. Secondly, it ensures that USV clusters have a balanced combat ability, and at the same time ensures that the combat ability of all parties is strong and weak and the gap is not too wide. In addition, the parameters are dynamically set to reduce the update frequency of the policy of the stronger party. The experimental results show that the MASP can make the USV clusters learn more effective policies, have a shorter game time, and obtain higher rewards and ELO scores in the simple 2v2 adversarial game scenario and the three-party game scenario of a warship escort mission. © 2024 ACM.

关键词： Deep reinforcement learning

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Seamless Graph Task Scheduling over Dynamic Vehicular Clouds: A Hybrid Methodology for Integrating Pilot and Instantaneous Decisions

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IEEE Transactions on Services Computing 2025年第3期18卷 1753-1768页

作者： Guo, Bingshuo Liwang, Minghui Xia, Xiaoyu Li, Li Jiao, Zhenzhen Hosseinalipour, Seyyedali Wang, Xianbin Xiamen University School of Informatics Fujian China Rmit University School of Computing Technologies MelbourneVIC Australia Tongji University Department of Control Science and Engineering Shanghai China Beijing Teleinfo Technology Co. Ltd. Caict IF-Labs China University at Buffalo-SUNY Department of Electrical Engineering NY United States Western University Department of Electrical and Computer Engineering ON Canada

Vehicular clouds (VCs) play a crucial role in the Internet-of-Vehicles (IoV) ecosystem by securing essential computing resources for a wide range of tasks. This paPertackles the intricacies of resource provisioning in dynamic VCs for computation-intensive tasks, represented by undirected graphs for parallel processing over multiple vehicles. We model the dynamics of VCs by considering multiple factors, including varying communication quality among vehicles, fluctuating computing capabilities of vehicles, uncertain contact duration among vehicles, and dynamic data exchange costs between vehicles. Our primary goal is to obtain feasible assignments between task components and nearby vehicles, called templates, in a timely manner with minimized task completion time and data exchange overhead. To achieve this, we propose a hybrid graph task scheduling (P-HTS) methodology that combines offline and online decision-making modes. For the offline mode, we introduce an approach called risk-aware pilot isomorphic subgraph searching (RA-PilotISS), which predicts feasible solutions for task scheduling in advance based on historical information. Then, for the online mode, we propose time-efficient instantaneous isomorphic subgraph searching (TE-InstaISS), serving as a backup approach for quickly identifying new optimal scheduling template when the one identified by RA-PilotISS becomes invalid due to changing conditions. Through comprehensive experiments, we demonstrate the superiority of our proposed hybrid mechanism compared to state-of-the-art methods in terms of various evaluative metrics, e.g., time efficiency such as the delay caused by seeking for possible templates and task completion time, as well as cost function, upon considering different VC scales and graph task topologies. © 2025 IEEE.

关键词： Undirected graphs

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Distributed Adaptive Coordination control for Autonomous Road Traffic at Multiple Intersections

Distributed Adaptive Coordination Control for Autonomous Roa...

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International Conference on Artificial Intelligence and Autonomous Transportation, AIAT 2024

作者： Ji, Honghai Shi, Qirui Liu, Shida Fan, Lingling wang, Li School of Electrical and Control Engineering North China University of Technology Beijing100144 China School of Automation Beijing Information Science and Technology University Beijing100192 China

ISBN: (纸本)9789819639724

As societal demands on traffic control increase, traditional model-based traffic control methods are showing their limitations. This paper introduces a Distributed Adaptive Coordination control (DACC) algorithm, which integrates data-driven control and multi-agent systems, aimed at optimizing traffic signal control across multiple intersections to effectively balance queuing times. Through joint simulation experiments with SUMO and Python, and comparison with the Proportional-Integral-Derivative Coordination control (PIDCC) algorithm, the DACC algorithm has demonstrated advantages in reducing average queuing times and improving traffic flow efficiency. The results indicate that the DACC algorithm excels in managing traffic flow variations. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Traffic signals

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Steady-state Voltage Security-constrained Optimal Frequency control for Weak HVDC Sending-end AC Power Systems

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Journal of Modern Power Systems and Clean Energy 2024年第2期12卷 658-669页

作者： Qiangqiang Wang Liangzhong Yao Jian Xu Yuping Zheng Wei Li Wei Wang School of Electrical Engineering and Automation Wuhan UniversityWuhan 430072China Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network(Wuhan University) Wuhan 430072China State Key Laboratory of Smart Grid Protection and Control NARI Group Corporation(State Grid Electric Power Research Institute)Nanjing 211106China

Due to the fact that a high share of renewable energy sources(RESs)are connected to high-voltage direct current(HVDC)sending-end AC power systems,the voltage and frequency regulation capabilities of HVDC sending-end AC power systems have *** has resulted in potential system operating problems such as overvoltage and overfrequency,which occur simultaneously when block faults exist in the HVDC *** this study,a steady-state voltage security-constrained optimal frequency control method for weak HVDC sending-end AC power systems is *** integrated virtual inertia control of RESs is employed for system frequency *** dynamic reactive power compensation devices are utilized to control the voltage of all nodes meet voltage security ***,an optimization model that simultaneously considers the frequency and steady-state voltage security constraints for weak HVDC sending-end AC power systems is *** optimal control scheme with the minimum total cost of generation tripping and additional dynamic reactive power compensation required is obtained through the optimization *** are conducted on a modified IEEE 9-bus test system and practical Qing-Yu line commutated converter based HVDC(LCC-HVDC)sending-end AC power system to verify the effectiveness of the proposed method.

关键词： Renewable energy source(RES) high-voltage direct current(HVDC) AC power system optimal frequency control steady-state voltage security dynamic reactive power compensation

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Distributed Fault-Tolerant Consensus Tracking of Multi-Agent Systems Under Cyber-Attacks

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IEEE/CAA Journal of Automatica Sinica 2022年第6期9卷 1037-1048页

作者： Chun Liu Bin Jiang Xiaofan Wang Huiliao Yang Shaorong Xie School of Mechatronic Engineering and Automation Shanghai UniversityShanghai 200444 School of Artificial Intelligence Shanghai UniversityShanghai 200444China IEEE College of Automation Engineering Nanjing University of Aeronautics and AstronauticsNanjing 210016China College of Energy and Electrical Engineering Hohai UniversityNanjing 210016China School of Computer Engineering and Science Shanghai UniversityShanghai 200444China

This paper investigates the distributed fault-tolerant consensus tracking problem of nonlinear multi-agent systems with general incipient and abrupt time-varying actuator faults under ***,a decentralized unknown input observer is established to estimate relative states and actuator ***,the estimated and output neighboring information is combined with distributed fault-tolerant consensus tracking *** of reaching leader-following exponential consensus tracking of multi-agent systems under both connectivity-maintained and connectivity-mixed attacks are derived with average dwelling time,attack frequency,and attack activation rate technique,*** example verifies the effectiveness of the fault-tolerant consensus tracking algorithm.

关键词： Cyberattacks fault-tolerant consensus tracking incipient and abrupt actuator faults nonlinear multi-agent systems unknown input observer

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A Distributed Optimization Algorithm Considering Inequality Constraints and its Application in Economic Dispatch Problem 7

A Distributed Optimization Algorithm Considering Inequality ...

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7th International Conference on Power and Energy Applications, ICPEA 2024

作者： Chen, Baitong Yang, Jianhua Lu, Wei Pedrycz, Witold Sun, Changhai School of Control Science and Engineering Dalian University of Technology Liaoning Dalian116023 China University of Alberta Department of Electrical and Computer Engineering Edmonton Canada School of Electrical Engineering Dalian University of Technology Liaoning Dalian116023 China

ISBN: (纸本)9798350356113

The economic dispatch problem (EDP) is crucial in optimizing and controlling power systems. As modern power system become more complex, traditional centralized communication methods are becoming less reliable. Therefore, distributed optimization method that relie on communication between neighboring nodes without the need for a central node are proposed. Existing distributed optimization methods for economic dispatch problems mainly focus on equality constraints like supply-demand balance, while problems with global inequality constraints are rarely studied. To address this gap, we propose a distributed optimization algorithm based on the primal-dual method and gradient tracking technique that can handle both global equality and inequality constraints. We thoroughly analyze its convergence and successfully apply it to the EDP with emission constraints to demonstrate its effectiveness. © 2024 IEEE.

关键词： Optimization algorithms

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