Robust Predictive Current Control of Induction Motors Based on Linear Extended State Observer

doi:10.23919/CJEE.2021.000009

Chinese Journal of Electrical Engineering ›› 2021, Vol. 7 ›› Issue (1): 94-105.doi: 10.23919/CJEE.2021.000009

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Robust Predictive Current Control of Induction Motors Based on Linear Extended State Observer

Yongchang Zhang^1,2,*, Xing Wang¹, Haitao Yang¹, Boyue Zhang¹ and Jose Rodriguez³

1. Inverter Technologies Engineering Research Center of Beijing, North China University of Technology, Beijing 100144, China;
2. School of Electrical and Electroric Engineering, North China Electric Power University, Beijing 102206, China;
3. College of Engineering, Universidad Andres Bello, Santiago 8370146, Chile

Received:2020-08-18 Revised:2020-11-12 Accepted:2020-12-20 Online:2021-03-25 Published:2021-04-19
Contact: * E-mail: zyc@ncepu.edu.cn
About author:Yongchang Zhang (M'10-SM'18) received his B.S. degree from Chongqing University, China, in 2004 and his Ph.D. degree from Tsinghua University, China, in 2009; both degrees are in electrical engineering. From August 2009 to August 2011, he was a postdoctoral fellow at the University of Technology Sydney, Australia. He joined North China University of Technology in August 2011 as an associate professor and then a full professor since 2015. Currently he is a full professor with North China Electric Power University, Beijing, China. He has published more than 100 technical papers in the area of motor drives, pulse width modulation and AC/DC converters. His current research interest is model predictive control for power converters and motor drives.Xing Wang was born in 1997. He received his B.S. degree in electrical engineering in 2018 from the North China University of Technology, Beijing, China, where he is currently working toward his M.S. degree in control science and engineering. His research interests include model predictive control of induction motor drives.Haitao Yang received his B.S. degree from the Hefei University of Technology, Hefei, China, in 2009 and his M.S. degree from the North China University of Technology, Beijing, China, in 2015; both degrees are in electrical engineering. He is presently working toward his Ph.D. degree with 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 vehicles.Boyue Zhang was born in 1993. He received his B.S. degree in electrical engineering and automation from Liaoning Technical University, Liaoning, China, in 2017. He is currently working toward his master's degree in electrical engineering at the North China University of Technology, Beijing, China. His research interests include the MPC of IM drives.Jose Rodriguez (Life Fellow, IEEE) received his degree in electrical engineering from Universidad Tecnica Federico Santa Maria, Valparaiso, Chile, in 1977 and his Dr.Eng degree in electrical engineering from the University of Erlangen, Erlangen, Germany, in 1985. He has been with the Department of Electronics Engineering, Universidad Tecnica Federico Santa Maria since 1977 as a full professor and became president of this university in 2015. Since 2019, he has been a full professor with Universidad Andres Bello, Santiago, Chile. He has coauthored two books, several book chapters, and more than 400 journal and conference articles. His main research interests include multilevel inverters, new converter topologies, control of power converters, and adjustable-speed drives. He has received a number of best paper awards from IEEE journals.He is a member of the Chilean Academy of Engineering. He was a recipient of the National Award of Applied Sciences and Technology from the government of Chile in 2014, and the Eugene Mittelmann Award from the Industrial Electronics Society of the IEEE in 2015.

Abstract

Abstract: Model predictive current control can achieve fast dynamic response and satisfactory steady-state performance for induction motor (IM) drives. However, many motor parameters are required to implement the control algorithm. Consequently, if the motor parameters used in the controller are not accurate, the performance may deteriorate. In this paper, a new robust predictive current control is proposed to improve robustness against parameter mismatches. The proposed method employs an ultra-local model to replace the mathematical model of the IM. Additionally, to improve the control performance, a linear extended state observer is developed for disturbance estimation. Experimental tests confirm that satisfactory tracking performance can still be obtained although the motor parameters may not be accurately set in the controller.

Key words: Induction motor drives, current control, predictive control, observers, robustness

Yongchang Zhang, Xing Wang, Haitao Yang, Boyue Zhang and Jose Rodriguez. Robust Predictive Current Control of Induction Motors Based on Linear Extended State Observer[J]. Chinese Journal of Electrical Engineering, 2021, 7(1): 94-105.

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Robust Predictive Current Control of Induction Motors Based on Linear Extended State Observer

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