Robustness Optimization of Model Predictive Voltage Control for PMSM Drives
ID:268 View Protection:ATTENDEE Updated Time:2021-12-03 20:31:52 Hits:1209 Oral Presentation

Start Time:2021-12-16 10:30(Asia/Shanghai)

Duration:15min

Session:G Electric Machine Design and Control » G2Session 23

Video No Permission Presentation File Attachment File

Tips: Only the registered participant can access the file. Please sign in first.

Abstract
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.
Keywords
Speaker
Hailong Bai
North China University of Technology

Submission Author
Xiaoguang Zhang North China University of Technology
Hailong Bai North China University of Technology
Ming Cheng Southeast University
Submit Comment
Verify Code Change Another
All Comments
Important Date
  • Conference Date

    Jul 11

    2023

    to

    Aug 18

    2023

  • Nov 10 2021

    Draft paper submission deadline

  • Dec 10 2021

    Registration deadline

  • Dec 11 2021

    Contribution Submission Deadline

Sponsored By
IEEE IAS
Organized By
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