An Accurate Torque Control Strategy for Permanent Magnet Synchronous Motors Based on a Multi-Closed-Loop Regulation Design

Feifan Ji, Qingyu Song, Yanjun Li () and Ran Cao
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Feifan Ji: School of Information and Electrical Engineering, Hangzhou City University, Hangzhou 310015, China
Qingyu Song: College of Control Science and Engineering, Zhejiang University, Hangzhou 310058, China
Yanjun Li: School of Information and Electrical Engineering, Hangzhou City University, Hangzhou 310015, China
Ran Cao: Zhejiang Leapmotor Technology Co., Ltd., Hangzhou 311228, China

Energies, 2023, vol. 17, issue 1, 1-19

Abstract: Torque control accuracy is a significant index of permanent magnet synchronous motors (PMSMs) and affects the safety of many applications greatly. Due to the strong nonlinearity of the motor as well as the disturbance of non-ideal factors such as temperature fluctuation and the parameter error in field-oriented control (FOC), it is undoubtedly difficult to accurately control the actual output torque. Meanwhile, the parameter differences between motors and sensors during mass production and the assembly process affect the consistency of output torque and even increase the factory failure rate of the motor. No torque sensor is implemented due to the cost and limited space. Accurate estimation of the motor torque becomes essential to realize the closed-loop feedback for torque and improve the accuracy at a lower cost. In this paper, a look-up table (LUT) model that can reflect the nonlinear mapping relationship between power and torque is established based on numerous offline experiments, which avoids the calculation of complex losses. A multi-closed-loop control strategy is proposed to dynamically adjust the amplitude and angle of the preset current command, respectively, to improve the torque accuracy. The effectiveness of the strategy has been validated by experimental results.

Keywords: electric vehicles; PMSM; torque control; torque estimation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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