[Poster Presentation]Predictive Torque Control of Induction Motor Based on Circular Boundary Restriction Strategy For Low Switching Frequency Application

IMPORTANT DATES

Digest Submission Opens: Oct. 30, 2022
Digest Submission Deadline: Mar. 20, 2023
Acceptance Notification: Apr. 28, 2023
Full Paper Submission Deadline: May. 20, 2023

Predictive Torque Control of Induction Motor Based on Circular Boundary Restriction Strategy For Low Switching Frequency Application

ID：115 View Protection：PUBLIC Updated Time：2023-06-12 14:41:00 Hits：357 Poster Presentation

Start Time：2023-06-19 10:15 （Asia/Shanghai）

Duration：0min

Session：[E] Poster Session » [E3] Poster Session 3

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Abstract

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 "|ψ_s|-T_e 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.

Keywords

low switching frequency;predictive torque control;no weighting factor

Speaker

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.

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