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Novel Composite Speed Control of Permanent Magnet Synchronous Motor Using Integral Sliding Mode Approach

Author

Listed:
  • Xiaodong Miao

    (School of Mechanical and Power Engineering, Nanjing Tech University, No.30, Puzhu Road(s), Nanjing 211816, China)

  • Wenzheng Yao

    (College of Electrical Engineering and Control Science, Nanjing Tech University, No.30, Puzhu Road(s), Nanjing 211816, China)

  • Huimin Ouyang

    (College of Electrical Engineering and Control Science, Nanjing Tech University, No.30, Puzhu Road(s), Nanjing 211816, China)

  • Zichong Zhu

    (College of Electrical Engineering and Control Science, Nanjing Tech University, No.30, Puzhu Road(s), Nanjing 211816, China)

Abstract

Permanent magnet synchronous motors (PMSMs) are widely applied in industry, and proportional integral (PI) controllers are often used to control PMSMs. Aiming at the characteristics of the poor anti-disturbance ability and speed ripple of traditional PI controllers, a novel composite speed controller for PMSMs is proposed in this paper that uses a novel sliding mode control (SMC). To improve the chattering problem of traditional SMC, a high-order approaching law super-twisting algorithm (STA) is applied. Considering the internal and external disturbance of motor driver systems, such as motor parameter drifts and load torque changes, a disturbance estimator based on an extended state observer (ESO) is proposed, and it is used for the feed-forward compensation of the current. The composite super-twisting integral sliding mode controller (ST-ISMC) with a nonlinear ESO is tested by simulations and experiments, and the comparative results verify that the proposed controller has the higher control accuracy, smaller speed ripple and stronger robustness.

Suggested Citation

  • Xiaodong Miao & Wenzheng Yao & Huimin Ouyang & Zichong Zhu, 2023. "Novel Composite Speed Control of Permanent Magnet Synchronous Motor Using Integral Sliding Mode Approach," Mathematics, MDPI, vol. 11(22), pages 1-17, November.
  • Handle: RePEc:gam:jmathe:v:11:y:2023:i:22:p:4666-:d:1281649
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