Data-Driven Fuzzy Constant Voltage Regulation of Inductive Power Transfer Systems

被引:0
|
作者
Xu, Donghui [1 ]
Tian, Engang [1 ]
Chen, Huwei [2 ]
机构
[1] Univ Shanghai Sci & Technol, Sch Opt Elect & Comp Engn, Shanghai 200093, Peoples R China
[2] Jiangsu Aerosp Power Machinery & Elect Co Ltd, Taizhou 225300, Peoples R China
基金
中国国家自然科学基金;
关键词
Regulation; Circuit stability; Asymptotic stability; Voltage control; Stability criteria; Nonlinear systems; Data models; Topology; Phase modulation; PD control; Data-driven technique; output regulation; inductive power transfer (IPT) system; Takagi-Sugeno model; linear matrix inequality (LMI); MISALIGNMENT TOLERANCE; WIRELESS; OPTIMIZATION;
D O I
10.1109/TCSI.2025.3529988
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper concerns the problem of constant voltage regulation for an unknown inductive power transfer (IPT) system with phase shift modulation (PSM). Different from mainstream model-based approaches, the proposed data-driven fuzzy method not only formulates a controller solely based on input-output data, but also guarantees the stability of nonlinear inductive power transfer systems. First, a data-based closed-loop fuzzy representation is derived to parameterize the nonlinear system. Subsequently, a sufficient data-based condition is proposed to ensure the stability of the nonlinear system and the asymptotically tracking characteristic without identifying the system parameters. Finally, an experimental example is proposed to demonstrate the accuracy of the proposed method and the robustness of suggested controllers.
引用
收藏
页数:10
相关论文
共 50 条
  • [31] A Heterogeneous Inductive Power Transfer System for Electric Vehicles with Spontaneous Constant Current and Constant Voltage Output Features
    Zhou, Jing
    Yao, Pengzhi
    Guo, Kan
    Cao, Pengju
    Zhang, Yao
    Ma, Hao
    ELECTRONICS, 2020, 9 (11) : 1 - 20
  • [32] Data-Driven Decentralized Learning Regulation for Networked Interconnected Systems Using Generalized Fuzzy Hyperbolic Models
    Liu, Jian
    Ke, Jiachen
    Liu, Jinliang
    Xie, Xiangpeng
    Tian, Engang
    Cao, Jie
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2024, 32 (10) : 5737 - 5749
  • [33] Data-Driven Modeling of Wireless Power Transfer Systems With Slowly Time-Varying Parameters
    Chen, Fengwei
    Padilla, Arturo
    Young, Peter C.
    Garnier, Hugues
    IEEE TRANSACTIONS ON POWER ELECTRONICS, 2020, 35 (11) : 12442 - 12456
  • [34] Data-driven measurement performance evaluation of voltage transformers in electric railway traction power supply systems
    Li, Zhaoyang
    Sun, Muqi
    Zhu, Jun
    Luo, Haoyu
    Wang, Qi
    Hu, Haitao
    He, Zhengyou
    Wang, Ke
    RAILWAY ENGINEERING SCIENCE, 2025,
  • [35] Data-driven output regulation control for constrained linear systems
    Xia, Chaoyu
    Dong, Yi
    Wang, Chaoli
    Xu, Shengyuan
    SCIENCE CHINA-INFORMATION SCIENCES, 2025, 68 (03)
  • [36] Data-Driven Robust Regulation of Nonlinear Systems With Mismatched Disturbances
    Yang, Xiong
    He, Haibo
    2017 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI), 2017, : 1284 - 1291
  • [37] Data-driven output regulation control for constrained linear systems
    Chaoyu XIA
    Yi DONG
    Chaoli WANG
    Shengyuan XU
    Science China(Information Sciences), 2025, 68 (03) : 338 - 353
  • [38] Data-driven harmonic output regulation of a class of nonlinear systems
    Hu, Zhongjie
    De Persis, Claudio
    Simpson-Porco, John W.
    Tesi, Pietro
    SYSTEMS & CONTROL LETTERS, 2025, 200
  • [39] Common-mode Voltage due to Asymmetry in Inductive Power Transfer Systems
    McLean, James
    Sutton, Robert
    2014 IEEE INTERNATIONAL SYMPOSIUM ON ELECTROMAGNETIC COMPATIBILITY (EMC), 2014, : 334 - 339
  • [40] Data-driven model predictive control of community batteries for voltage regulation in power grids subject to EV charging
    Amani, Ali Moradi
    Sajjadi, Samaneh Sadat
    Somaweera, W. Arachchige
    Jalili, Mahdi
    Yu, Xinghuo
    ENERGY REPORTS, 2023, 9 : 236 - 244