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

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.

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Publication Details

Journal
IEEE Transactions on Circuits and Systems I Regular Papers
Published
2025-01-22
DOI
https://doi.org/10.1109/tcsi.2025.3529988
Primary Topic
Wireless Power Transfer Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Donghui Xu, Engang Tian, Huwei Chen
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IEEE Transactions on Circuits and Systems I Regular Papers
Wireless Power Transfer Systems
article

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

Donghui Xu, Engang Tian, Huwei Chen
article en

Abstract

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.

IEEE Transactions on Circuits and Systems I Regular PapersVol. 72(9)
University of Shanghai for Science and Technology (CN)
National Science Foundation, National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 99%
Wireless Power Transfer Systems
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Data-Driven Fuzzy Constant Voltage Regulation of Inductive Power Transfer Systems — Donghui Xu, Engang Tian, et al. · IEEE Transactions on Circuits and Systems I Regular Papers (2025) | TGRS Research Map | TGRS