Predictive Torque Control of Induction Motor Based on Circular Boundary Restriction Strategy For Low Switching Frequency Application
编号:115 访问权限:公开 更新:2023-06-12 14:41:00 浏览:561次 张贴报告

报告开始:2023年06月19日 10:15(Asia/Shanghai)

报告时间:0min

所在会场:[E] Poster Session [E3] Poster Session 3

摘要
Predictive torque control has attracted extensive attention due to its advantages of no field orientation, no current inner loop, no parameter setting, direct inverter drive signal without pulse modulation, simple structure, and rapid response. The traditional predictive torque control uses a cost function to control the electromagnetic torque of the motor and the stator flux and limit the switching frequency, which has the problem of cumbersome and complicated weighting factor setting. To reduce the switching frequency and avoid the tuning of weighting factors, a predictive torque control for induction motors based on a circular boundary-limited strategy is designed in this paper. The "|ψs|-Te coordinate system" is constructed with the motor stator flux and electromagnetic torque after the standard unit, and the circular boundary restriction strategy is adopted to reduce the switching frequency and avoid the adjustment of the weighting factor. By comparing with the traditional predictive torque control, this method's control effect and feasibility are verified.
关键词
low switching frequency;predictive torque control;no weighting factor
报告人
Qi Xin
University of Science and Technology Beijing

Xin Qi (S’06–M’11–SM’18) was born in Beijing, China, in 1982. He received the B.S. and Ph.D. degrees in electrical and mechanical engineering from the University of Science and Technology Beijing, Beijing, China, in 2004 and 2011, respectively.
He was a Research Assistant at the Electrical Machines and Drives Laboratory, University of Wuppertal, Wuppertal, Germany, in 2009, 2010, and 2012. In 2018-2019, he was a Visiting Scholar at the same University. He is currently an Associate Professor of Mechatronics Engineering with the Department of Mechatronics Engineering, School of Mechanical Engineering, University of Science and Technology Beijing. His research interests include sensorless control of ac machines, online op-timized pulsewidth modulation techniques, and control strategies for inverters and ac machine drives.

Wang Chenyu
University of Science and Technology Beijing

Chenyu Wang was born in Fujian, China, in 2000. He received the B.Eng. degree in mechanical engineering from the University of Science and Technology Beijing, Beijing, China, in 2022. He is currently working toward the M.E.E. degree at the University of Science and Technology Beijing, Beijing, China. His research interests include model predictive control and motor control.

Che Chao

Deng Yi

Pacas Mario

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重要日期
  • 会议日期

    06月16日

    2023

    06月19日

    2023

  • 06月15日 2023

    报告提交截止日期

  • 07月02日 2023

    注册截止日期

主办单位
Huazhong University of Science and Technology, China
(IEEE PELS)
IEEE
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