Model Predictive Control for Torque Ripple Minimization of Brushless DC Motor in Full Speed Range
编号:279 访问权限:仅限参会人 更新:2021-12-03 10:56:34 浏览:473次 口头报告

报告开始:2021年12月17日 09:45(Asia/Shanghai)

报告时间:15min

所在会场:[G] Electric Machine Design and Control [G3] Session 29

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摘要
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.
关键词
Brushless DC motor (BLDC),model predictive control (MPC),Pulse width modulation (PWM) duty ratio,torque ripple minimization
报告人
Bowei Ma
Shanghai University

稿件作者
Bowei Ma Shanghai University
Wenxiang Song Shanghai University
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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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