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2023 IEEE PELS Students and Young Professionals Symposium, SYPS 2023

作者： Bao, Yuehai Zhang, Xiaokang Zhao, Junjie Li, Bowen Xu, Changyi Shanghai University School of Mechatronic Engineering and Automation Shanghai China Dalian University of Technology School of Control Science and Technology Liaoning China

ISBN: (纸本)9798350307832

With its unique winding configuration, the open-end winding permanent magnet synchronous motor (OW-PMSM) inherits a series of advantages of the permanent magnet synchronous motor (PMSM) and has good fault tolerance with dual inverter drive. This paper proposes a fault-tolerant control strategy for open-phase faults in three-phase PMSM powered by a common DC bus. This paper studies the fault-tolerant operation of OW-PMSM under open-phase faults, addressing the most common failure of power devices in electric drive systems. This paper presents a simulation based on dual-inverter Sinusoidal Pulse Width Modulation (SPWM) under open-phase fault. A proportional resonance controller is employed to suppress the zero-sequence current in the system after the fault, weaken the harmonics produced by the third-order zero-sequence current in the PMSM system, thereby reducing electromagnetic torque ripple and improving the control performance of the system. The simulation results demonstrate the effectiveness of the proposed approach. © 2023 IEEE.

关键词： Fault tolerance

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Interaction Quantification of MTDC Systems Connected with Weak AC Grids

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CSEE Journal of Power and Energy Systems 2024年第5期10卷 2088-2099页

作者： Wanning Zheng Jiabing Hu Li Chai Bing Liu Zixia Sang Engineering Research Center of Metallurgical Automation and Measurement Technology Wuhan University of Science and TechnologyWuhan 430081China State Key Laboratory of Advanced Electromagnetic Engineering and Technology and School of Electrical and Electronic EngineeringHuazhong University of Science and TechnologyWuhan 430074China College of Control Science and Engineering Zhejiang UniversityHangzhou 310027China State Grid Hubei Economic Research Institute Wuhan 430077China

The small-signal stability of multi-terminal high voltage direct current(HVDC)systems has become one of the vital issues in modern power *** among voltage source converters(VSCs)have a significant impact on the stability of the *** paper proposes an interaction quantification method based on the self-/en-stabilizing coefficients of the general N-terminal HVDC system with a weak AC network ***,we derive the explicit formulae of self-/en-stabilizing coefficients for any N-terminal HVDC system,which can quantify the interactions through different paths *** relation between the self-/en-stabilizing coefficients and the poles of the system can be used to evaluate the impact of the interactions on the system stability ***,we employ the obtained formulae to analyze the parameter sensitivity and explain how a parameter affects the stability of the system through different paths of ***,extensive examples are given to demonstrate the effectiveness of the proposed method.

关键词： Interactions multi-terminal HVDC self-/enstabilizing coefficients small-signal stability

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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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Adaptive Prescribed Finite-Time Bipartite Consensus control for Nonaffine Nonlinear MASs Under Structurally Unbalanced Topology

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IEEE Transactions on Systems, Man, and Cybernetics: Systems 2025年第5期55卷 3532-3541页

作者： Wang, Xiaomei Song, Yongduan Zhao, Xudong Wang, Huanqing Wang, Ding Niu, Ben Chongqing University School of Automation Chongqing400044 China Shandong Normal University School of Information Science and Engineering Shandong Jinan250014 China Dalian University of Technology School of Control Science and Engineering Liaoning Dalian116023 China Bohai University College of Mathematical Sciences Liaoning Jinzhou121013 China Beijing University of Technology Faculty of Information Technology Beijing100124 China Sichuan University School of Electrical Engineering Chengdu610065 China

This article investigates an adaptive bipartite consensus tracking control algorithm for a class of heterogeneous nonaffine nonlinear multiagent systems (MASs) with prescribed finite-time tracking performance under an unbalanced communication topology. In the case of an unbalanced digraph, a novel locally optimal bipartition strategy is proposed to transform the unbalanced communication topology into a structurally balanced one, thereby enabling the implementation of bipartite consensus tracking control. To achieve the expected tracking performance, the design philosophy focuses on developing a prescribed finite-time performance function (PFTPF), capable of preassigning the convergence time and accuracy precisely beforehand. The explored adaptive control algorithm can ensure that the whole signals concerning the closed-loop MASs remain bounded while the bipartite consensus errors converge to a predetermined range around zero within the prescribed finite time. Ultimately, the simulation results on robotic systems prove the availability of the developed design solution. © 2013 IEEE.

关键词： Topology

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Research on synchronization control of 5-dimensional hyperchaotic systems and its application in image encryption 5

Research on synchronization control of 5-dimensional hyperch...

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5th International Conference on Frontiers Technology of Information and Computer, ICFTIC 2023

作者： Ouyang, Sujian Sun, Yuan Zeng, Huiquan Wang, Qinan Xiamen University of Technology Xiamen Key Laboratory of Frontier Electric Power Equipment and Intelligent Control School of Electrical Engineering & Automation Xiamen China Xiamen University of Technology School of Electrical Engineering & Automation Xiamen China

ISBN: (纸本)9798350309034

In the information age, advances in decryption technology have made it easier for image information to be stolen, tampered with, and subjected to other malicious actions during the information transmission process. In this study, a hyperchaotic time series based on fuzzy brain emotional learning controller is proposed to realize synchronizttion, and the chaotic masking technology is applied to encrypt and decrypt the image. Simulation results demonstrate that the FBEL controller can attain a high level of synchronization accuracy for the hyperchaotic system. Meanwhile, security test of encrypted images is carried out through distribution histogram, correlation coefficient analysis of adjacent pixels, ciphertext information entropy analysis, etc. Theoretical analysis and simulation results demonstrate that, in comparison to traditional image encryption technology, this approach offers superior security performance and fulfills the requirements of secure communication. © 2023 IEEE.

关键词： Chaotic synchronization Image encryption Secure communication

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Design of Load Frequency controller for Power System Based on Equivalent Input Disturbance Method 4

Design of Load Frequency Controller for Power System Based o...

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4th IEEE New Energy and Energy Storage System control Summit Forum, NEESSC 2024

作者： Zhang, Jianrong Xu, Hang Wang, Hongzhang Zhang, Chuanke China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education School of Automation Wuhan China

ISBN: (纸本)9798350389012

In the power system, due to the instability of the external environment, safe and stable operation cannot always be guaranteed, as it frequently encounters varying degrees of external disturbances. In order to mitigate the effects of these disturbances on the system, the power system can operate safely and stably, In this paper, a power system load frequency control (LFC) based on Equivalent Input Disturbance (EID) method is proposed from the perspective of active disturbance suppression. Firstly, the disturbances present in the environment are unified as external disturbances, and then a single area the electric power system model with external disturbance was constructed. Then, a controller algorithm based on EID was designed using EID equivalent processing method and linear matrix inequality method to address the issue of external interference in the power system. Finally, a numerical example is used to validate the effectiveness and accuracy of the controller by simulating with two aspects, fixed perturbation and random perturbation, respectively. © 2024 IEEE.

关键词： Linear matrix inequalities

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Fault Identification for a Class of Nonlinear Uncertain Systems Using High Gain Observer and Deterministic Learning

Fault Identification for a Class of Nonlinear Uncertain Syst...

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2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes, SAFEPROCESS 2023

作者： Chen, Tianrui Ge, Yan Shandong University The School of Control Science and Engineering Jinan250100 China Guangdong University of Technology The School of Automation Guangzhou510006 China

ISBN: (纸本)9798350337754

In this article, by exploiting a high gain learning observer, a fault identification scheme is proposed for a class of nonlinear systems. First, by utilizing techniques of high gain adaptive observer and local approximator, a learning based high gain observer is designed, in which the state estimation and fault identification are implemented simultaneously. Based on the Lyapunov-based stability theorem, both of the state estimation errors and parameter errors can be proved to be uniformly ultimately bounded. Second, through using deterministic learning, a partial persistent excitation condition can be satisfied. Then, the interconnected system can be proved to be input-to-state stable by using the small gain theorem. This implies that local approximator can be guaranteed to compensate the unknown dynamics, and the observer gain can be effectively reduced. Simulation results show the effectiveness of the proposed fault identification scheme. © 2023 IEEE.

关键词： State estimation

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A WSN Node Fault Diagnosis Model Based on BRB with Self-Adaptive Quality Factor

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Computers, Materials & Continua 2023年第4期75卷 1157-1177页

作者： Guo-Wen Sun Gang Xiang Wei He Kai Tang Zi-Yi Wang Hai-Long Zhu School of Computer Science and Information Engineering Harbin Normal UniversitySongbei DistrictHarbin150025China Beihang University School of Automation Science and Electrical Engineering Beijing100191China Beijing Aerospace Automatic Control Institute Beijing100074China Rocket Force University of Engineering Xi’anShaanxi Province710025China

Wireless sensor networks (WSNs) operate in complex and harshenvironments;thus, node faults are inevitable. Therefore, fault diagnosis ofthe WSNs node is essential. Affected by the harsh working environment ofWSNs and wireless data transmission, the data collected by WSNs containnoisy data, leading to unreliable data among the data features extracted duringfault diagnosis. To reduce the influence of unreliable data features on faultdiagnosis accuracy, this paper proposes a belief rule base (BRB) with a selfadaptivequality factor (BRB-SAQF) fault diagnosis model. First, the datafeatures required for WSN node fault diagnosis are extracted. Second, thequality factors of input attributes are introduced and calculated. Third, themodel inference process with an attribute quality factor is designed. Fourth,the projection covariance matrix adaptation evolution strategy (P-CMA-ES)algorithm is used to optimize the model’s initial parameters. Finally, the effectivenessof the proposed model is verified by comparing the commonly usedfault diagnosis methods for WSN nodes with the BRB method consideringstatic attribute reliability (BRB-Sr). The experimental results show that BRBSAQFcan reduce the influence of unreliable data features. The self-adaptivequality factor calculation method is more reasonable and accurate than thestatic attribute reliability method.

关键词： Self-adaptive quality factor belief rule base wireless sensor networks fault diagnosis

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A blockchain-based transaction system for private data sharing and trading

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control Theory and Technology 2022年第3期20卷 291-302页

作者： Wei Cui Yu Pan Zhendong Ai School of Automation Science and Engineering South China University of TechnologyGuangzhou510640GuangdongChina College of Control Science and Engineering Zhejiang UniversityHangzhou310058ZhejiangChina

To address the private data management problems and realize privacy-preserving data sharing,a blockchain-based transaction system named Ecare featuring information transparency,fairness and scalability is *** proposed system formulates multiple private data access control strategies,and realizes data trading and sharing through on-chain transactions,which makes transaction records transparent and *** our system,the private data are encrypted,and the role-based account model ensures that access to the data requires owner’s ***,a new consensus protocol named Proof of Transactions(PoT)proposed by ourselves has been used to improve consensus *** value of Ecare is not only that it aggregates telemedicine,data transactions,and other features,but also that it translates these actions into transaction events stored in the blockchain,making them transparent and immutable to all *** proposed system can be extended to more general big data privacy protection and data transaction scenarios.

关键词： Private data sharing Blockchain Data access control Proof of Transactions

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controllability of neighborhood Corona product networks

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Science China(Information Sciences) 2024年第12期67卷 327-328页

作者： Bo LIU Xuan LI Qiang ZHANG Junjie HUANG Housheng SU Ministry of Education Key Laboratory for Intelligent Analysis and Security Governance of Ethnic Languages School of Information Engineering Minzu University of China School of Mathematical Sciences Inner Mongolia University Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China School of Artificial Intelligence and Automation Huazhong University of Science and Technology

controlling networks aims to study the models, structures,and related dynamics of complex networks. The primary problem of controlling networks is to determine whether they are controllable. Nowadays, controllability has been widely studied and applied to system engineering and control theory, power systems, aerospace, and quantum systems. Various classical criteria include the Gram matrix criterion, Kalman rank criterion, and PBH test.

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