Model Predictive Control for Torque Ripple Minimization of Brushless DC Motor in Full Speed Range
ID:279 View Protection:ATTENDEE Updated Time:2021-12-03 10:56:34 Hits:1213 Oral Presentation

Start Time:2021-12-17 09:45(Asia/Shanghai)

Duration:15min

Session:G Electric Machine Design and Control » G3Session 29

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Abstract
Brushless DC motors (BLDC) with two-phase conduction mode generate periodic torque ripple, which affects their applications in servo systems. On basis of model predictive control (MPC), a new torque ripple reduction approach for BLDC is proposed. Combined with mathematical analysis of different operating states of BLDC, this control method can achieve constant current of the conducted phases during noncommutation and constant non-commutation current during commutation in full speed range by predicting the pulse width modulation (PWM) duty ratio, and the torque ripple minimization can be guaranteed. The simulation results present that the proposed method is able to suppress the torque ripple efficiently at low speed and high speed, and has good robustness to deviations of motor parameters.
Keywords
Brushless DC motor (BLDC),model predictive control (MPC),Pulse width modulation (PWM) duty ratio,torque ripple minimization
Speaker
Bowei Ma
Shanghai University

Submission Author
Bowei Ma Shanghai University
Wenxiang Song Shanghai University
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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

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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