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2023 China automation Congress, CAC 2023

作者： Yi, Ran Lin, Jie Wu, Huai-Ning School of Automation Science and Electrical Engineering Beihang University Beijing100191 China School of Automation Science and Electrical Engineering Beihang University The Science and Technology on Aircraft Control Laboratory Beijing100191 China The Peng Cheng Laboratory Shenzhen518000 China

ISBN: (纸本)9798350303759

Artificial intelligence hopes machines perform tasks in a way naturally like a human being, a useful approach is behavior cloning (BC), which makes the machine learn human behavior. This paper addresses the online learning problem of human behavior based on a nonlinear human-in-the-loop (HiTL) vehicle system, where the human driver is modeled by a fuzzy controller. First, a Takagi-Sugeno (T-S) fuzzy model is constructed for the nonlinear vehicle control system. And a control model based on the parallel distributed compensation (PDC) technique is used to describe the human driver's behavior. A concurrent learning (CL)-based online adaptive law is then designed to learn the fuzzy feedback gain matrices of the fuzzy control model. Compaired with traditional approaches, the CL-based law removes the persistent excitation (PE) condition, mekes it more suitable for complex nonlinear systems. Finally, the simulation results are provided to demonstrate the effectiveness of the approach. © 2023 IEEE.

关键词： Learning systems

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Elimination of Digital Delay Effect on Rotor Position for Two-Step Finite control Set MPCC Used in PMSMs 49

Elimination of Digital Delay Effect on Rotor Position for Tw...

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

作者： Liu, Jinglin Gong, Chao Ge, Lefei School of Automation Northwestern Polytechnical University Xi'an China University of Alberta Department of Electrical and Computer Engineering Edmonton Canada

ISBN: (纸本)9798350331820

This paper proposes a novel concept to eliminate the digital delay effect on rotor position for the traditional two-step finite control set model predictive current control (FCS-MPCC) method used in the PMSMs. Specifically, that the digital delay affects the position, and further the prediction accuracy is discussed firstly, posing the necessity of compensating the position used for control. Then, a speed-prediction-based linear compensation method which takes the speed shift trend into account is proposed to eliminate the digital delay impact on position, which is conducive to the control performance. Finally, simulation is conducted on a three-phase PMSM to validate the proposed strategy in comparison with the traditional two-step FCS-MPCC. © 2023 IEEE.

关键词： Model predictive control

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EVADE: Targeted Adversarial False Data Injection Attacks for State Estimation in Smart Grid

IEEE Transactions on Sustainable Computing

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IEEE Transactions on Sustainable Computing 2025年第3期10卷 534-546页

作者： Tian, Jiwei Shen, Chao Wang, Buhong Ren, Chao Xia, Xiaofang Dong, Runze Cheng, Tianhao Xi’an Jiaotong University Ministry of Education Key Laboratory for Intelligent Networks and Network Security School of Cyber Science and Engineering Xi’an710049 China Air Force Engineering University Air Traffic Control and Navigation College Xi’an710051 China Air Force Engineering University Information and Navigation College Xi’an710043 China Nanyang Technological University School of Electrical and Electronic Engineering 639798 Singapore Xidian University School of Computer Science and Technology Xi’an710126 China

Although conventional false data injection attacks can circumvent the detection of bad data detection (BDD) in sustainable power grid cyber physical systems, they are easily detected by well-trained deep learning-based detectors. Still, state estimation models with deep leaning-based detectors are not secure due to the vulnerabilities and fragility of deep learning models. Using the related laws of conventional false data injection attacks and adversarial sample attacks, this paper proposes the targEted adVersarial fAlse Data injEction (EVADE) strategy to explore targeted adversarial false data injection attacks for state estimation in Smart Grid. The proposed EVADE attack strategy selects key state variables based on adversarial saliency maps to improve the attack efficiency and perturbs as few state variables as possible to reduce the attack cost. In this way, the EVADE attack strategy can bypass the detection of BDD and neural attack detection (NAD) methods (that is, maintaining deep stealthy) with a high success rate and achieve the attack target simultaneously. Experimental results demonstrate the effectiveness of the proposed strategy, posing serious and pressing concerns for sustainable cyber physical power system security. © 2016 IEEE.

关键词： Cyber attacks

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Pinning control-Based Reconstructibility Analysis and State Estimation for Boolean Networks

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Journal of Systems Science & Complexity 2025年

作者： YANG Junqi WANG Shangkun CHEN Yantao LI Zhiqiang School of Electrical Engineering and Automation Henan Key Laboratory of Intelligent Detection and Control of Coal Mine Equipment Henan Polytechnic University School of Mathematics and Information Science Henan University of Economics and Law

In this paper, the issues of both reconstructibility analysis and state estimation are investigated for locally reconstructible Boolean networks(BNs), where the pinning control is employed to design a special control sequence. First, this paper will focus on dealing with state unreconstructible cycle based on state set-estimation theory, and the concept of set-to-set reachability is proposed. Second, the locally reconstructible BNs are transformed to Boolean control networks(BCNs) by pinning control technique, where a logical matrix is designed by a special algorithm such that all states in the unreconstructible initial state set can evolve into the reconstructible state set, simultaneously. Third,a sufficient condition for the existence of a free Boolean control sequence is obtained, which guarantees that a locally reconstructible BN can be transformed into a reconstructible one. Besides, an optimization control algorithm is proposed to generate pinning control sequence and further optimize the reconstructibility of BNs. A kind of pinning control-based state estimation method is also ***, an example is provided to show the feasibility of the proposed methods.

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Transient Voltage control Strategy for the Receiving-End Power Grid with New Energy Stations Coordination

Transient Voltage Control Strategy for the Receiving-End Pow...

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2024 Boao New Power System International Forum - Power System and New Energy Technology Innovation Forum, NPSIF 2024

作者： Yang, Huanhuan Qi, Pan Xu, Guanghu Zhang, Jianxin Ke, Deping China Southern Power Grid Company Limited Power Dispatching Control Center Guangzhou China School of Electrical Engineering and Automation Wuhan University Wuhan China

ISBN: (纸本)9798331504557

To address the transient voltage issues in the receiving-end power grid, this paper proposes a transient voltage control method that fully exploits the reactive power support potential of new energy stations and considers the coordination among stations. This method maximizes the use of their reactive power regulation capabilities to provide reactive power support for the grid by reducing the active power output of new energy stations, ensuring the safety and stability of grid voltage after a fault. Firstly, establish transient voltage assessment indicators, taking into account the grid voltage safety constraints, new energy station capacity, and grid operation constraints, establish a transient voltage coordinated control model with the goal of optimal reactive power compensation capacity and minimum control cost. Then, by using the perturbation method, obtain the sensitivity of the transient voltage safety margin indicators and the new energy station tripping margin indicators to the control variables, linearize the model, and complete the calculation using the Gurobi solver. Finally, case studies are conducted based on an improved IEEE 3machines 9 nodes model, and the results show that the proposed control strategy can fully utilize the reactive power support capabilities of new energy stations and coordinate their participation in transient voltage control, providing timely and effective voltage support for the system. © 2024 IEEE.

关键词： Electromagnetic transients

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Design of A Novel Primary Permanent Magnet Linear Machine with Low Thrust Ripple 7

Design of A Novel Primary Permanent Magnet Linear Machine wi...

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7th IEEE Student Conference on Electric Machines and Systems, SCEMS 2024

作者： Chai, Jiawei Xu, Jiajia Gui, Xianguo Gao, Qiang School of Electrical Engineering & Automation Harbin Institute of Technology Harbin China Innovation Center for Control Actuators Beijing Institute of Precision Mechatronics and Controls Beijing China

ISBN: (纸本)9798350366945

In order to reduce thrust ripple, this paper proposes a new primary permanent magnet linear machine with uneven pole (UP-PPMLM). Firstly, the proposed structure and advantages compared to conventional structure are introduced. Then, the expressions of air-gap flux density by permanent magnets (PMs) and armature reaction are derived. Finally, by using finite element method (FEM), the new topology reasonability is proved. Meanwhile, the performances of proposed machines are compared to conventional topology, and the result confirms the electromagnetic performances of the proposed machine have been greatly improved. © 2024 IEEE.

关键词： Permanent magnets

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Performance Evaluation of Axial-Flux Machine with Water-Cooling and Fractional-Slot Distributed-Winding 11

Performance Evaluation of Axial-Flux Machine with Water-Cool...

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11th International Conference on Power Electronics - ECCE Asia, ICPE 2023-ECCE Asia

作者： Chen, Qixu Li, Guoli Qian, Zhe Sun, Zehui Wang, Qunjing Anhui University School of Electrical Engineering and Automation Hefei China Anhui University National Engineering Laboratory of Energy-Saving Motor and Control Technology Hefei China

ISBN: (纸本)9788957083505

The reduction of space harmonic in winding magnetic motive force (MMF) is important for axial-flux permanent magnet synchronous machine (AFPMSM). For the 12-slot/10-pole winding and 24-slot/10-pole winding, comparative analysis of winding MMF is finished with winding function method(WFM). Analysis results show that fractional-slot distributed-winding (FSDW) have much lower total harmonic distortion (THD) than that of fractional-slot concentrated-winding (FSCW). It is beneficial to reduce eddy-current loss in PMs. An AFPMSM prototype with a 24-slot/10-pole combination is manufactured and tested at no-load condition. No-load back-EMF wave is measured at 1000rpm and 3000rpm. Theory and experiment prove that AFPMSM with FSDW layout has a better balance between THD of winding MMF and THD of no-load back-EMF. © 2023 The Korean Institute of Power Electronics.

关键词： Permanent magnets

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Study on Inertia-Resistant Disturbance Speed control of Permanent Magnet Synchronous Motor Based on Exponential Integral Time-Varying Sliding Mode 2nd

Study on Inertia-Resistant Disturbance Speed Control of Perm...

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Conference Proceedings of 2022 2nd International Joint Conference on Energy, electrical and Power engineering

作者： Ni, Shilin Xie, Fang Wang, Houying School of Electrical Engineering and Automation Anhui University Hefei China National Engineering Laboratory of Energy-Saving Motor & Control Technology Anhui University Hefei China

ISBN: (纸本)9789819943333

To enhance the dynamic performance of speed control when the moment of inertia changes during the operation of permanent magnet synchronous motor (PMSM), this paper investigates an anti-inertia disturbance method based on exponential integral time-varying sliding mode control (EITSMC). First, the paper analyzes the relationship between moment of inertia and motor speed using the mathematical analytical model of PMSM. Secondly, to track the change of the inertia moment immediately, the model reference adaptive system (MRAS) is applied to estimate the inertia change online and improve its tracking accuracy. Thirdly, To solve the issues of unstable motor speed under the sudden change of inertia, the sliding mode control method of exponential integration time variable is proposed, and the introduction of this method can not only better enhance the stability of motor speed, but also improve the fast performance of motor speed. Then, the identifiable moment of inertia is refreshed in real time to the exponentially integrated time-varying SMC, which realizes the adaptive speed control of the PMSM and satisfies the dynamic speed performance of the motor when the inertia changes. Eventually, the feasibility and effectiveness of the proposed method are verified by experiments. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Speed control

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Arc Fault Detection Method Based on Multidimensional Features Fusion and Principal Component Analysis

Arc Fault Detection Method Based on Multidimensional Feature...

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International Conference of electrical, Electronic and Networked Energy Systems, EENES 2024

作者： Liang, Ruofei Su, Jingjing College of Electrical Engineering and Automation Fuzhou University Fuzhou350108 China Zhejiang Institute of Mechanical and Electrical Engineering Co. Ltd. Hangzhou310051 China School of Computer and Big Data Minjiang University Fuzhou350108 China

ISBN: (纸本)9789819618514

Traditional method is difficult to be efficiently applied to series arc fault detection of complex electricity environment because of the complex home load working mechanism and its variety. For such a problem, an effective method based on multidimensional feature fusion and principal component analysis in this paper. Firstly, current waveforms of various loads are analyzed from the perspectives of time domain, frequency domain and time- frequency domain to extract arc fault features. Then, the root mean square of current time domain, harmonic amplitude of frequency domain, frequency domain energy of 2k–5 kHz and decomposition energy entropy of wavelet packet 3 layer are selected as the multidimensional characteristics for arc fault. And principal component analysis is used for dimensionality reduction for multidimensional features. Finally, the multidimensional features are input to the neural network to establish arc fault diagnosis model to realize the fault detection. The results of the experiments demonstrate that the proposed method realizes the multi-dimensional fusion and arc fault diagnosis model can effectively identify faults and realize load identification, with an accuracy of 99%. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Wavelet decomposition

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Transformer-Based Predictive Analysis and Maintenance for Aluminum Foil Mill 43

Transformer-Based Predictive Analysis and Maintenance for Al...

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43rd Chinese control Conference, CCC 2024

作者： Su, Jiuzheng Hu, Wenshan Liu, Guo-Ping Lei, Zhongcheng Wuhan University School of Electrical Engineering and Automation Wuhan430072 China Southern University of Science and Technology Center for Control Science and Technology Shenzhen518055 China

ISBN: (纸本)9789887581581

The aluminum foil mill is an important industrial production equipment. To reduce operation and maintenance costs and prevent breakdowns in the rolling mill, it is necessary to analyze and predict the data of different sensors of the mill, including voltage, current, temperature and others. In this paper, the problem analysis and modeling of the actual rolling mill production process are carried out, and the typical data of sensors are analyzed based on the Transformer model. Experimental results are compared with other typical time series prediction models. The final results show that the Transformer model has great potential in the predictive maintenance of aluminum foil mill. © 2024 Technical Committee on control Theory, Chinese Association of automation.

关键词： Aluminum foil

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