An Improved Deadbeat Predictive Current Control Strategy for Interior Permanent Magnet Synchronous Motors
ID:233 View Protection:PRIVATE Updated Time:2020-10-29 23:49:24 Hits:831 Oral Presentation

Start Time:2020-11-03 10:00(Asia/Shanghai)

Duration:15min

Session:C Electric Machine Design and Control » C1Session 12 and Session 17

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Abstract
Interior permanent magnet synchronous motors (IPMSMs) show excellent performances in many aspects. Nevertheless, their strong nonlinearities bring enormous challenges to precise control in a servo drive. In view of little computational effort and constant switching frequency, deadbeat controller is a good option for IPMSMs to realize high-bandwidth current control, but the method is quite dependent on exact PMSM model. Hence, this paper proposes an improved deadbeat predictive current control algorithm combined with precise polynomial flux linkage model. Smaller discretization error is introduced, and the computation is simple enough. The predictive trajectory problem is also addressed in this paper. The co-simulation conducted between finite element software and MATLAB demonstrates the excellent performance of the proposed control strategy over a wide current range.
Keywords
predictive control;interior permanent magnet synchronous motor (IPMSM);flux linkage model;deadbeat control
Speaker
Xin Sun
Tsinghua University

Submission Author
Xin Sun Tsinghua University
Xi Xiao Tsinghua University
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Important Date
  • Conference Date

    Nov 02

    2020

    to

    Nov 04

    2020

  • Oct 27 2020

    Draft paper submission deadline

  • Nov 03 2020

    Contribution Submission Deadline

  • Nov 04 2020

    Registration deadline

  • Nov 17 2020

    Final Paper Deadline

Sponsored By
IEEE IAS Student Chapter of Huazhong University of Science and Technology (HUST)
Organized By
Huazhong University of Science and Technology
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