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In this paper, a model predictive direct speed control (MPDSC) method based on a third-order super-twisting sliding mode observer (TOSMO) for permanent magnet synchronous motor (PMSM) systems is proposed. Firstly, the MPDSC method based on direct voltage-selection for the PMSM is presented. Then, to improve the accuracy of the prediction, the lumped disturbances, such as the PMSM parameter mismatches and external disturbances, are analyzed, and the accurate voltage prediction equations are constructed. On this basis, a TOSMO capable of simultaneously estimating the lumped disturbances in both current and speed loops is constructed. Then, the estimated values of the lumped disturbances are used to feed-forward compensate to the MPDSC controller to eliminate the reference voltage errors and improve the robustness and tracking accuracy of the PMSM system. Finally, the effectiveness of the proposed method is verified by simulations.

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Third-Order Super-Twisting Sliding Mode Observer-Based Robust Model Predictive Direct Speed Control for PMSM Drives

  • 会议论文

  • 发表日期：

    2025年

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  • Yiqing Ma,
  • Shihong Ding,
  • Keqi Mei,
  • Jinlin Sun

摘要

In this paper, a model predictive direct speed control (MPDSC) method based on a third-order super-twisting sliding mode observer (TOSMO) for permanent magnet synchronous motor (PMSM) systems is proposed. Firstly, the MPDSC method based on direct voltage-selection for the PMSM is presented. Then, to improve the accuracy of the prediction, the lumped disturbances, such as the PMSM parameter mismatches and external disturbances, are analyzed, and the accurate voltage prediction equations are constructed. On this basis, a TOSMO capable of simultaneously estimating the lumped disturbances in both current and speed loops is constructed. Then, the estimated values of the lumped disturbances are used to feed-forward compensate to the MPDSC controller to eliminate the reference voltage errors and improve the robustness and tracking accuracy of the PMSM system. Finally, the effectiveness of the proposed method is verified by simulations.