37 / 2025-01-24 18:21:43
Enhanced Robustness Model Predictive Current Control for PMSM Drives
parameter mismatch,cost function,Kalman filter,Model predictive current control (MPCC)
全文录用
Wenjie Li / Chinese Academy of Science;Changchun Institute of Optics, Fine Mechanics and Physics
Yongting Deng / Chinese Academy of Science;Changchun Institute of Optics, Fine Mechanics and Physics
Chuanlong Zhai / Chinese Academy of Science;Changchun Institute of Optics, Fine Mechanics and Physics
Laixiang Xu / Chinese Academy of Science;Changchun Institute of Optics, Fine Mechanics and Physics
Haiyang Cao / Chinese Academy of Science;Changchun Institute of Optics Fine Mechanics and Physics
Xiufeng Liu / Chinese Academy of Science;Changchun Institute of Optics, Fine Mechanics and Physics
In order to solve the problem that the control performance of model predictive current control (MPCC) depends on the accuracy of model parameters, this paper proposes an enhanced robustness MPCC strategy. By introducing lumped disturbance terms and current differential terms into the cost function, the robustness of MPCC to inductance, flux linkage and resistance mismatch is improved. In addition, a novel Kalman filter is designed to mitigate the effects of load torque disturbance and sensor measurement noise. Simulation results confirm the effectiveness of the proposed strategy.
重要日期
  • 会议日期

    06月05日

    2025

    06月08日

    2025

  • 04月30日 2025

    初稿截稿日期

主办单位
IEEE PELS
IEEE
承办单位
Southeast University
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