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Equivalence Relation Analysis and Design of Repetitive Controllers and Multiple Quasi-Resonant Controllers for Single-Phase Inverters

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IEEE Journal of Emerging and Selected Topics in Power Electronics 2025年

作者： Zhao, Qiangsong Zhang, Hongwei Xia, Yuanqing Chen, Qiang Ye, Yongqiang Zhongyuan University of Technology School of Automation and Electrical Engineering Zhengzhou450007 China Beijing Institute of Technology School of Automation Beijing100081 China Zhejiang University of Technology Data-Driven Intelligent Systems Laboratory College of Information Engineering Hangzhou310023 China Nanjing University of Aeronautics and Astronautics College of Automation Engineering Nanjing211106 China

Repetitive controller (RC) and multiple quasi-resonant controllers (MQ-RSC), both based on internal model principle, are widely used in ac voltage/current control of single-phase inverters due to their high tracking accuracy for sinusoid reference and superior harmonics suppression capabilities. However, both controllers have their respective strengths and weaknesses regarding parameter design complexity, convergence rate, or stability margin. In this paper, the mathematical equivalence between various types of RCs and MQ-RSC are established comprehensively, which offers a new perspective for analyzing and designing these two types of controllers. The equivalent relations reveal the connection between the internal model coefficients of RCs and the equivalent resonant bandwidths of MQ-RSC. Based on this equivalent relations, a novel design way of RCs is proposed to enhance the frequency robustness. Furthermore, a new MQ-RSC design method is also put forward to simplify the design process. Experimental results on a 1.5-kW single-phase grid-tied inverter validate the accuracy of the equivalence relations and showcase their valuable roles in the design of RC and MQ-RSC. © 2013 IEEE.

关键词： Harmonic analysis

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A Novel RC-ESO-ADRC for Harmonics Suppression and Robustness Improvement of Grid-Tied Inverters in a Weak and Distorted Grid

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IEEE Transactions on Power Electronics 2025年

作者： Zhao, Qiangsong Wang, Qifan Zhang, Hongwei Xia, Yuanqing Ye, Yongqiang Zhongyuan University of Technology School of Automation and Electrical Engineering Zhengzhou450007 China Zhejiang University of Technology Data-Driven Intelligent Systems Laboratory College of Information Engineering Hangzhou310023 China Beijing Institute of Technology School of Automation Beijing100081 China Nanjing University of Aeronautics and Astronautics College of Automation Engineering Nanjing211106 China

Repetitive control-based extented state observer (RC-ESO) enhances the estimation accuracy of periodic harmonic disturbances. However, it exhibits a slow convergence rate of disturbance estimation, limited steady-state estimation accuracy, and a lack of systematic design. An improved active disturbance rejection control (ADRC) current control scheme based on a novel RC-ESO (NRC-ESO) is proposed in this paper. An ideal compensation filter (ICF) is used to design the NRC-ESO, achieving a faster convergence rate for disturbance estimation. Additionally, a zero-phase low-pass filter is embedded in the NRC-ESO to reduce the current steady-state error and mitigate the impact of sensors high-frequency noise. The anti-disturbance ability, tracking performance, system stability, and detail parameter optimization design of the NRC-ESO-based ADRC (NRC-ESO-ADRC) are presented. The experimental results reflect the effectiveness of current harmonics suppression and robustness. © 1986-2012 IEEE.

关键词： Low pass filters

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NIAP: A Neighbor information based Multichannel RFID Reader Anti-collision Protocol 2022

NIAP: A Neighbor Information based Multichannel RFID Reader ...

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7th International Conference on intelligent information technology, ICIIT 2022

作者： Su, Zijun Wan, Chang He, Guannan Li, Zhonghua College Of Automation Guangdong University Of Technology China Guangdong Polytechnic Of Science And Technology China School Of Electronics And Information Technology Sun Yat-sen University China School Of Intelligent Systems Engineering Sun Yat-sen University China

ISBN: (纸本)9781450396172

Reader collisions may occur when readers interrogate tags simultaneously due to mutual interference in Radio Frequency IDentification (RFID) systems. Many state-of-the-art protocols are devoted to eliminate reader collisions to pursue high throughput. This paper proposes a Neighbor information based multichannel RFID reader Anti-collision Protocol (NIAP). In terms of competition strategy, the competition priority of a reader is determined by its number of neighbor readers based on the solving maximum independent sets algorithm. With regard to channel switching strategy, a reader which wants to switch to a new channel judges the severity of the reader-to-tag collisions according to the distance from the interrogating neighbor reader. Eligible reader-to-tag collisions are allowed to occur considering the coverage of readers. The simulation results show the proposed NIAP outperforms the other multichannel protocols. © 2022 ACM.

关键词： Radio frequency identification (RFID)

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Current Problems and Solutions of Industrial Control Network Intrusion Detection: A Brief Survey

Current Problems and Solutions of Industrial Control Network...

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2022 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2022

作者： Jiang, Tianyu Zhang, Chen Wang, Rui Chai, Senchun Institute of Automation Chinese Academy of Sciences and University of Science and Technology Beijing China Beijing Institute of Technology China Institute of Automation Chinese Academy of Sciences State Key Laboratory of Management and Control for Complex Systems China Institute of Intelligent Information Processing and Control Beijing Institute of Technology China

ISBN: (数字)9781665469838

ISBN: (纸本)9781665469838

With the advancement of industrial intelligence, the Industrial Internet has been widely used in energy, manufacturing and other important industries. In recent years, security incidents have occurred frequently in industrial control network, which means that maintaining industrial control network security has become more and more important. Intrusion detection technology can actively detect abnormal behavior in the network, and is an important means to ensure the security of industrial control networks. Presently, the intrusion detection technology of industrial control network has problems such as extreme imbalance of classes and redundant interference of traffic characteristics. This paper analyzes these problems and clarifies the existing solutions for different problems in principle. © 2022 IEEE.

关键词： Network security

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A Finite-Time Posture Control Strategy for the Swarm Underactuated Robots 5th

A Finite-Time Posture Control Strategy for the Swarm Under...

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5th Chinese Conference on Swarm Intelligence and Cooperative Control, CCSICC 2021

作者： Huang, Zixin Qin, Xiangyu Wei, Shaoqi Wang, Lejun Hubei Key Laboratory of Intelligent Robot Wuhan Institute of Technology Wuhan430205 China Hubei Key Laboratory of Digital Textile Equipment Wuhan Textile University Wuhan430200 China School of Electrical and Information Engineering Wuhan Institute of Technology Wuhan430205 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan430074 China

ISBN: (纸本)9789811939976

Under the background of industrial machinery automation. The swarm robots are required to cooperate to complete complex and accurate works in finite-time and create more relative residual value. Based on the inherent advantages of underactuated robot, the research of finite time posture control strategy has higher theoretical and practical value. Firstly, the dynamic model of a single Pendubot of planar swarm underactuated robots was built. However, the robots reach to the same objective from different initial states and keep being at the same posture, so it was necessary to plan a feasible trajectory. Then, the planned trajectory parameters are optimized to make the underactuated robots relized the objectives in finite time. Finally, an unified tracking controller is designed for the underactuated robots. Simulation results of the swarm underactuated robots demonstrated the effectiveness of the proposed control strategy. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Robots

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A Stealthy False Data Injection Attack Scheme Against Sensor Measurements Using Partial System Knowledge

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IEEE Transactions on Automatic Control 2025年

作者： Guo, Haibin Pang, Zhong-Hua Sun, Jian Han, Qing-Long Liu, Guo-Ping North China University of Technology Key Laboratory of Fieldbus Technology and Automation of Beijing Beijing100144 China Beijing University of Technology School of Information Science and Technology Beijing100124 China Beijing Institute of Technology National Key Laboratory of Autonomous Intelligent Unmanned Systems School of Automation Beijing100081 China Swinburne University of Technology School of Science Computing and Engineering Technologies MelbourneVIC3122 Australia Southern University of Science and Technology School of Automation and Intelligent Manufacturing Shenzhen518055 China

Attack design is indispensable for analyzing potential risks of networked control systems (NCSs). However, the remote control center is usually well protected and its knowledge is difficult to be disclosed, which becomes a major obstacle in developing stealthy false data injection (FDI) attack scheme because only partial system knowledge (i.e., the system matrices of the physical plant) could be used. To meet this challenge, a novel stealthy FDI attack scheme against the sensor measurement is proposed by employing the normal and compromised self-governed filters held by malicious attackers, where the normal one is adopted to estimate the system state and the compromised one is used as the virtual attacked target. The corresponding attack strategy is obtained by maximizing the estimation error of the compromised self-governed filter. Then, the residual of the compromised system is derived to prove attack stealthiness. Next, it is derived and found that the attack impact on system estimation performance is the same as that based on full system knowledge. Furthermore, the divergence condition of NCSs under the attack is presented. Finally, all the theoretical analyses are verified by simulation results. © 1963-2012 IEEE.

关键词： Kalman filters

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Feedforward Dual-Mode Repetitive Control for Single-Phase V2G Inverters in Residential Grids

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IEEE Transactions on Transportation Electrification 2025年

作者： Zhao, Qiangsong Zhou, Guohui Xia, Yuanqing Zhu, Yongsheng Yu, Dongdong Zhang, Hongwei Zhongyuan University of Technology School of Automation and Electrical Engineering Zhengzhou450007 China Beijing Institute of Technology School of Automation Beijing100081 China Zhejiang University of Technology Data-Driven Intelligent Systems Laboratory College of Information Engineering Hangzhou310023 China

Vehicle-to-grid (V2G) technology enhances the utilization of renewable energy by enabling electric vehicles to inject stored renewable power into the grid. However, in singlephase residential grids, the grid background harmonics and grid frequency variations directly affect the feed-in grid current quality of the V2G inverter system. To address this issue, this paper proposes a novel feedforward dual-mode repetitive control (FDMRC) scheme, which adjusts adaptively the repetitive control (RC) gains according to the harmonics distribution of feed-in grid current. By introducing the feedforward channels into the dual-mode repetitive control, the FDMRC enlarges the open-loop gains at the frequencies of interest, while enhancing the dynamic performance of the system. In addition, the adaptive RC gains improve the harmonics suppression performance of the FDMRC system under varied grid background harmonics. Furthermore, stability analysis and detailed parameters optimization design for the FDMRC system are presented. The experimental platform of a single-phase V2G inverter is established to verify the effectiveness of the proposed FDMRC scheme, and the experimental results demonstrates that the proposed FDMRC scheme possesses enhanced harmonics suppression performance, strong frequency robustness, and fast dynamic performance under the scenarios of varied grid background harmonics and grid frequency variations. © 2015 IEEE.

关键词： Feedforward control

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automation 5.0: The Key to systems Intelligence and Industry 5.0

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IEEE/CAA Journal of Automatica Sinica 2024年第8期11卷 1723-1727页

作者： Ljubo Vlacic Hailong Huang Mariagrazia Dotoli Yutong Wang Petros A.Ioannou Lili Fan Xingxia Wang Raffaele Carli Chen Lv Lingxi Li Xiaoxiang Na Qing-Long Han Fei-Yue Wang Institute of Intelligent and Integrated Systems and the School of Engineering and Built Environment Griffith UniversityNathanQLD 4111Australia Department of Aeronautical and Aviation Engineering The Hong Kong Polytechnic UniversityHong KongChina Department of Electrical and Information Engineering Polytechnic of Bari70126 BariItaly State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190and also with the Qingdao Academy of Intelligent IndustriesQingdao 266114China Department of Electrical Engineering-Systems University of Southern CaliforniaLos AngelesCA 90007 USA School of Automation Beijing Institute of TechnologyBeijing 100081China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190 School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049 Beijing Huairou Academy of Parallel Sensing Beijing 101499China School of Mechanical and Aerospace Engineering Nanyang Technological UniversitySingapore 639798Singapore Department of Electrical and Computer Engineering Purdue School of Engineering and TechnologyIndiana University-Purdue University IndianapolisIndianapolisIN 46202 USA Department of Engineering University of CambridgeCB21TN CambridgeU.K. School of Science Computing and Engineering TechnologiesSwinburne University of TechnologyMelbourne VIC 3122Australia State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190 School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049China Dazhou Artificial Intelligence Institute Dazhouand the Faculty of Innovation EngineeringMacao University of Science and TechnologyMacao 999078China

automation has come a long way since the early days of mechanization,i.e.,the process of working exclusively by hand or using animals to work with *** rise of steam engines and water wheels represented the first generation of industry,which is now called Industry Citation:***,***,***,***,***,***,***,***,***,***,***,Q.-***,and F.-***,“automation 5.0:The key to systems intelligence and Industry 5.0,”IEEE/CAA ***,vol.11,no.8,pp.1723-1727,Aug.2024.

关键词： automation machinery intelligence

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A Swing-Up and Stable Control Strategy for Pendubot Based on Nonlinear Model Predictive Method

A Swing-Up and Stable Control Strategy for Pendubot Based on...

引用

2023 China automation Congress, CAC 2023

作者： Wang, Lejun Liu, Yiqin Zhang, Ruihuan Huang, Zixin Cai, Zhen School of Automation School of Industrial Internet Chongqing University of Posts and Telecommunications Chongqing400065 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan430074 China Hubei Key Laboratory of Digital Textile Equipment Wuhan Textile University Wuhan430200 China School of Electrical and Information Engineering Wuhan Institute of Technology Wuhan430205 China School of Information Engineering Wuhan City Polytechnic Wuhan430064 China

ISBN: (纸本)9798350303759

The control objective of Pendubot is to stabilise the system in a vertically upward position by swinging up from a vertically downward position. Facing various physical constraints in practical applications, this paper proposes a swing-up stabil-isation control strategy based on a nonlinear model prediction method to accomplish the above control objective. On the basis of the system dynamics model, the forward Euler method is used to construct a nonlinear prediction model of the system. According to the control objectives and physical constraints of the system, the performance index function is designed, and then the control inputs of each sampling cycle are obtained through rolling optimisation and feedback correction, so that the system state gradually converges to the target trajectory, thus achieving the motion control objective. Based on the simulation results, it can be seen that the strategy proposed in this paper is efficient and robust under external disturbances. © 2023 IEEE.

关键词： Model predictive control

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Driver Identification Using Accelerometers Data and Optimized Dataset Construction: A Naturalistic Driving Study 27

Driver Identification Using Accelerometers Data and Optimize...

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27th IEEE International Conference on intelligent Transportation systems, ITSC 2024

作者： Zhou, Hongmei Cao, Longtian Tian, Kai Zhang, Hui Huang, Yan Huang, Zhen Wang, Xu School of Transportation and Logistics Engineering Wuhan University of Technology Wuhan430063 China Intelligent Transportation Systems Research Center Engineering Research Center of Transportation Information and Safety Ministry of Education Wuhan University of Technology Wuhan430063 China Dongfeng Usharing Technology Company Limited Wuhan430100 China School of Automation Wuhan University of Technology Wuhan430070 China School of Qilu Transportation Shandong University Jinan250002 China

ISBN: (纸本)9798331505929

The development of intelligent connected vehicles provides refined multidimensional data and connected conditions for driving behavior research. Relevant literature suggests that drivers can be distinguished by analyzing their driving behavior disparities. However, existing studies encounter challenges, such as diminished classification accuracy, obstacles in practical implementation, and ambiguity in defining the boundaries of feature extraction methods. This study aims to establish a high-accuracy driver identity identification model with readily accessible data. Driving behavior data, including vehicle speed and three-axis acceleration, were acquired from a field driving experiment involving 20 participants, each driving for a minimum of 6 hours. Driver identification accuracy was assessed by constructing random and continuous datasets and adjusting feature extraction parameters. The K-nearest Neighbor and Convolutional Neural Network models were employed to develop the driver identification model. Evaluate results show that the test accuracy using a random dataset is significantly better than a continuous dataset. When employing the random dataset, the K-Nearest Neighbors algorithm achieved the highest identification accuracy, reaching 93.4%. Notably, within a specific range, reducing the interval of acceleration sampling frequency and incorporating data from multiple axes substantially enhances driver identification accuracy. The research outcomes may facilitate the practical application of the driver identification model. © 2024 IEEE.

关键词： Convolutional neural networks

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