85 / 2021-10-21 19:30:48
Robustness Optimization of Model Predictive Voltage Control for PMSM Drives
终稿
Xiaoguang Zhang / North China University of Technology
Hailong Bai / North China University of Technology
Ming Cheng / Southeast University
Owing to the strong dependence of model predictive control on system parameters, the whole system will be unstable when the parameters are disturbed. Therefore, this paper aims to strengthen the parameters robustness of the prediction control system. Specifically, a sliding-mode based model predictive voltage control is proposed to regulate the parameter disturbance. And a reference voltage predictive function is constructed on the foundation of the designed sliding mode reaching law. Finally, aiming at verifying the parameter robustness of the proposed strategy, the motor parameters are changed by building simulation, and the conventional method is compared with it. And the availability of the proposed strategy is proved.
重要日期
  • 会议日期

    07月11日

    2023

    08月18日

    2023

  • 11月10日 2021

    初稿截稿日期

  • 12月10日 2021

    注册截止日期

  • 12月11日 2021

    报告提交截止日期

主办单位
IEEE IAS
承办单位
IEEE IAS Student Chapter of Southwest Jiaotong University (SWJTU)
IEEE IAS Student Chapter of Huazhong University of Science and Technology (HUST)
IEEE PELS (Power Electronics Society) Student Chapter of HUST
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