An Improved Deadbeat Predictive Current Control of PMSM Drives Based on the Ultra-local Model

doi:10.23919/CJEE.2023.000020

Chinese Journal of Electrical Engineering ›› 2023, Vol. 9 ›› Issue (2): 27-37.doi: 10.23919/CJEE.2023.000020

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An Improved Deadbeat Predictive Current Control of PMSM Drives Based on the Ultra-local Model

Yongchang Zhang^1,*, Wenjia Shen², Haitao Yang²

1. School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China;
2. School of Electrical and Control Engineering, North China University of Technology, Beijing 100144, China

Received:2022-04-17 Revised:2022-07-31 Accepted:2022-10-25 Online:2023-06-25 Published:2023-06-28
Contact: *E-mail: yozhang@ieee.org
About author:Yongchang Zhang (M'10-SM'18) received the B.S. degree in Electrical Engineering from Chongqing University, Chongqing, China, in 2004, and the Ph.D. degree in Electrical Engineering from Tsinghua University, Beijing, China, in 2009. From August 2009 to August 2011, he was a Post-Doctoral Fellow with the University of Technology Sydney, Sydney, NSW, Australia. In August 2011, he joined the North China University of Technology as an Associate Professor, where he was promoted to a Full Professor in January 2015. Since August 2021, he has been a Full Professor with North China Electric Power University, Beijing. He has published more than 100 technical articles in the areas of motor drives, pulse-width modulation, and AC/DC converters. His current research interest is model predictive control for power converters and motor drives. Dr. Zhang is a Fellow of the Institute of Engineering and Technology. He is the Technical Program Co-Chair of the 5th/6th IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics. He serves as an Associate/Guest Editor for several international journals, such as IEEE Journal of Emerging and Selected Topics in Power Electronics.
Wenjia Shen was born in Luoyang, Henan, in September 1997. She received the B.S. degree in Electrical Engineering from the China University of Petroleum, Qingdao, Shandong, China, in 2019. She is currently pursuing the M.S. degree in Electrical Engineering with the North China University of Technology, Beijing, China. Her current research interest is predictive control of permanent magnet synchronous motor (PMSM) drives.
Haitao Yang received the B.S. degree from the Hefei University of Technology, Hefei, China, in 2009, and the M.S. degree from the North China University of Technology, Beijing, China, in 2015, both in Electrical Engineering. He is currently pursuing the Ph.D. degree at the University of Technology Sydney, Ultimo, NSW, Australia. He is currently with the North China University of Technology, Beijing, China. His research interests include control of motor drives, PWM converters, and electric vehicle.

Abstract

Abstract: Deadbeat predictive current control (DPCC) has been widely applied in permanent magnet synchronous motor (PMSM) drives due to its fast dynamic response and good steady-state performance. However, the control accuracy of DPCC is dependent on the machine parameters’ accuracy. In practical applications, the machine parameters may vary with working conditions due to temperature, saturation, skin effect, and so on. As a result, the performance of DPCC may degrade when there are parameter mismatches between the actual value and the one used in the controller. To solve the problem of parameter dependence for DPCC, this study proposes an improved model-free predictive current control method for PMSM drives. The accurate model of the PMSM is replaced by a first-order ultra-local model. This model is dynamically updated by online estimation of the gain of the input voltage and the other parts describing the system dynamics. After obtaining this ultra-local model from the information on the measured stator currents and applied stator voltages in past control periods, the reference voltage value can be calculated based on the principle of DPCC, which is subsequently synthesized by space vector modulation (SVM). This method is compared with conventional DPCC and field-oriented control (FOC), and its superiority is verified by the presented experimental results.

Key words: Deadbeat control, current control, robustness, PMSM drives

Yongchang Zhang, Wenjia Shen, Haitao Yang. An Improved Deadbeat Predictive Current Control of PMSM Drives Based on the Ultra-local Model[J]. Chinese Journal of Electrical Engineering, 2023, 9(2): 27-37.

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An Improved Deadbeat Predictive Current Control of PMSM Drives Based on the Ultra-local Model

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