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
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