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Anti-Disturbance Cooperative Fuzzy Tracking Control of Multi-PMSMs Low-Speed Urban Rail Traction Systems

Dai, Yuchen, Zhang, Liyan, Xu, Dezhi, Chen, Qihong, Yan, Xinggang (2022) Anti-Disturbance Cooperative Fuzzy Tracking Control of Multi-PMSMs Low-Speed Urban Rail Traction Systems. IEEE Transactions on Transportation Electrification, 8 (1). pp. 1040-1052. ISSN 2332-7782. (doi:10.1109/TTE.2021.3133316) (KAR id:95517)

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Official URL:
https://doi.org/10.1109/TTE.2021.3133316

Abstract

A directed-graph-based cooperative control scheme is proposed, to improve the synchronization performance and reduce its error under disturbance between multiple permanent magnet synchronous traction motors in low-speed urban rail transit. First, each motor is supposed to an agent of multi-agent system, and the information between multiple motors can be transmitted through communication topology network, which ensure the consistency of the response of each agent. Then, considering that the load torque of the motor is disturbed during operation, a finite-time disturbanceobserver is proposed to estimate the unknown load disturbance, thus guarantee the anti-disturbance ability of the system. Besides, the nonlinear parts of the dynamic model are approximated by fuzzy logic systems, and a second-order sliding mode differentiator is designed to avoid the direct derivation of virtual control law and the problem of differential explosion. Finally, the system is proved to be finite-time stable. The feasibility and effectiveness of the proposed control scheme are verified by the hardware-in-the-loop platform.

Item Type: Article
DOI/Identification number: 10.1109/TTE.2021.3133316
Uncontrolled keywords: low-speed urban rail transit; traction system; multiple permanent magnet synchronous motors; directed-graph; disturbance-observer; cooperative control
Subjects: T Technology
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Xinggang Yan
Date Deposited: 22 Jun 2022 09:55 UTC
Last Modified: 23 Jun 2022 08:40 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/95517 (The current URI for this page, for reference purposes)
Yan, Xinggang: https://orcid.org/0000-0003-2217-8398
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