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Design and Implementation of Terminal Sliding Mode Control Method for PMSM Speed Regulation System

Open access
Li, Shihua, Zhou, Mingming, Yu, Xinghuo·2013·IEEE Transactions on Industrial Informatics

Abstract

This paper investigates the speed regulation problem of permanent magnet synchronous motor servo system based on terminal sliding mode control method. By introducing a non-singular terminal sliding mode manifold, a novel terminal sliding mode controller is designed for the speed loop. This controller can make the states not only reach the manifold in finite time, but also converge to the equilibrium point in finite time. Thus, the controller could make the motor speed reach the reference value in finite time, obtaining a faster convergence and a better tracking precision. Meanwhile, considering the large chattering phenomenon caused by high switching gains, a composite terminal sliding mode control method based on disturbance observer is proposed to reduce chattering. Through disturbance estimation for feed-forward compensation, the composite terminal sliding mode controller may take a smaller value for the switching gain without sacrificing disturbance rejection performance. Matlab simulation and TMS320F2808 DSP experimental results are provided to show the superiority of the proposed methods.

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Metadata

Authors
Li, S., Zhou, M., & Yu, X.
Venue
IEEE Transactions on Industrial Informatics
Published
2013-11
Volume
9
Issue
4
Pages
1879-1891
ISSN
  • 1551-3203 (ISSN-L)
  • 1941-0050
OpenAlex
W1993917498
Cited by
505
References
0
FWCI
10.78
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Design and Implementation of Terminal Sliding Mode Control Method for PMSM Speed Regulation System. https://app.cochat.ai/papers/10.1109/tii.2012.2226896
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Li, S., Zhou, M., & Yu, X. (2013). Design and Implementation of Terminal Sliding Mode Control Method for PMSM Speed Regulation System. IEEE Transactions on Industrial Informatics. https://doi.org/10.1109/tii.2012.2226896

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.