Open Access

ARTICLE

Model-Free Sliding Mode Control for PMSM Drive System Based on Ultra-Local Model

Kaihui Zhao1,2, Wenchang Liu1, Tonghuan Yin3, Ruirui Zhou4, Wangke Dai1 and Gang Huang5,*
1 College of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou, 412007, China
2 School of Engineering, Tokyo University of Technology, Hachioji, 192-0982, Japan
3 Institute of Refrigeration Technology, Gree Electric Appliances, Inc. of Zhuhai, Zhuhai, 519070, China
4 School of Traffic and Transportation Engineering, Central South University, Changsha, 410073, China
5 College of Railway Transportation, Hunan University of Technology, Zhuzhou, 412007, China
* Corresponding Author: Gang Huang. Email:

Energy Engineering 2022, 119(2), 767-780. https://doi.org/10.32604/EE.2021.018617

Received 06 August 2021; Accepted 13 September 2021; Issue published 24 January 2022

Abstract

This paper presents a novel model-free sliding mode control (MFSMC) method to improve the speed response of permanent magnet synchronous machine (PMSM) drive system. The ultra-local model (ULM) is first derived based on the input and the output of the PMSM. Then, the novel MFSMC method is presented, and the controller is designed based on ULM and MFSMC. A sliding mode observer (SMO) is constructed to estimate the unknown part of the ULM. The estimated unknown part is feedbacked to MFSMC controller to perform compensation for parameter perturbations and external disturbances. Compared with the sliding mode control (SMC) method, the results of simulation and experiment demonstrate that the presented MFSMC method improves the dynamic response and robustness of the PMSM drive system.

Keywords

Permanent magnet synchronous motor (PMSM); ultra-local model (ULM); model-free sliding mode control (MFSMC); sliding mode observer (SMO)

Cite This Article

Zhao, K., Liu, W., Yin, T., Zhou, R., Dai, W. (2022). Model-Free Sliding Mode Control for PMSM Drive System Based on Ultra-Local Model. Energy Engineering, 119(2), 767–780.



This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
  • 1517

    View

  • 623

    Download

  • 0

    Like

Share Link

WeChat scan