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In this brief, a model-free adaptive disturbance rejection controller is proposed for permanent magnet synchronous motor (PMSM) position tracking control. First, a filtering adaptive extended state observer (FAESO) is designed to estimate the moment of inertia and the load torque. As such, the PMSM can maintain a good control performance even if the moment of inertia is unknown. Second, in order to enhance the anti-interference ability of PMSM, a super-twisting algorithm (STA) based control law is designed. Finally, the effectiveness of the proposed controller is verified through simulations.

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Adaptive Disturbance Rejection Control of PMSM Based on Filtering Adaptive Extended State Observer and Super-Twisting Algorithm

  • 会议论文

  • 发表日期：

    2025年

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  • Lai Wei,
  • Dan Wang,
  • Zhouhua Peng,
  • Nan Gu,
  • Anqing Wang

摘要

In this brief, a model-free adaptive disturbance rejection controller is proposed for permanent magnet synchronous motor (PMSM) position tracking control. First, a filtering adaptive extended state observer (FAESO) is designed to estimate the moment of inertia and the load torque. As such, the PMSM can maintain a good control performance even if the moment of inertia is unknown. Second, in order to enhance the anti-interference ability of PMSM, a super-twisting algorithm (STA) based control law is designed. Finally, the effectiveness of the proposed controller is verified through simulations.