Overview of Model Predictive Control for Induction Motor Drives

中国电气工程学报（英文） ›› 2016, Vol. 2 ›› Issue (1): 62-76.

Overview of Model Predictive Control for Induction Motor Drives

Yongchang Zhang^1*, Bo Xia¹, Haitao Yang¹, and Jose Rodriguez²

1. Inverter Technologies Engineering Research Center of Beijing, North China University of Technology, Beijing, 100144, China
2. Universidad Andres Bello, Santiago, Chile.

出版日期:2016-01-20 发布日期:2019-10-31
通讯作者: * , E-mail: zyc@ncut.edu.cn.
作者简介:Yongchang Zhang (M’10) received the B.S. degree from Chongqing University, China, in 2004 and the Ph.D. degree from Tsinghua University, China, in 2009, both 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. Currently he is a full professor and the vice director of Inverter Technologies Engineering Research Center of Beijing. 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.
Bo Xia was born in 1990. He received the B.S. degree from Hunan University of Technology in 2014. He is currently working toward the Master degree in electrical engineering at North China University of Technology, Beijing, China. His research interest is model predictive control of induction motor drives.
Haitao Yang was born in 1987. He received the B.S. degree from Hefei University of Technology, China, in 2009 and the Master degree from North China University of Technology, China, in 2015, both in electrical engineering. He is currently working toward the Ph.D degree in mechanical engineering at University of Technology Sydney, Sydney, Australia. His research interest is model predictive control of AC motor drives.
Jose Rodriguez (M'81-SM'94-F'10) received the Engineer degree in electrical engineering from the Universidad Tecnica Federico Santa Maria, in Valparaiso, Chile, in 1977 and the Dr.-Ing. 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, where he was full Professor and President. Since 2015 he is the President of Universidad Andres Bello in Santiago, Chile. He has coauthored more than 400 journal and conference papers. 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. Dr. Rodriguez is member of the Chilean Academy of Engineering and Fellow of the IEEE. In 2014 he received the National Award of Applied Sciences and Technology from the Government of Chile. In 2015 he received the Eugene Mittelmann Award from IEEE.

Overview of Model Predictive Control for Induction Motor Drives

Yongchang Zhang^1*, Bo Xia¹, Haitao Yang¹, and Jose Rodriguez²

1. Inverter Technologies Engineering Research Center of Beijing, North China University of Technology, Beijing, 100144, China
2. Universidad Andres Bello, Santiago, Chile.

Online:2016-01-20 Published:2019-10-31
Contact: * , E-mail: zyc@ncut.edu.cn.
About author:Yongchang Zhang (M’10) received the B.S. degree from Chongqing University, China, in 2004 and the Ph.D. degree from Tsinghua University, China, in 2009, both 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. Currently he is a full professor and the vice director of Inverter Technologies Engineering Research Center of Beijing. 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.
Bo Xia was born in 1990. He received the B.S. degree from Hunan University of Technology in 2014. He is currently working toward the Master degree in electrical engineering at North China University of Technology, Beijing, China. His research interest is model predictive control of induction motor drives.
Haitao Yang was born in 1987. He received the B.S. degree from Hefei University of Technology, China, in 2009 and the Master degree from North China University of Technology, China, in 2015, both in electrical engineering. He is currently working toward the Ph.D degree in mechanical engineering at University of Technology Sydney, Sydney, Australia. His research interest is model predictive control of AC motor drives.
Jose Rodriguez (M'81-SM'94-F'10) received the Engineer degree in electrical engineering from the Universidad Tecnica Federico Santa Maria, in Valparaiso, Chile, in 1977 and the Dr.-Ing. 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, where he was full Professor and President. Since 2015 he is the President of Universidad Andres Bello in Santiago, Chile. He has coauthored more than 400 journal and conference papers. 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. Dr. Rodriguez is member of the Chilean Academy of Engineering and Fellow of the IEEE. In 2014 he received the National Award of Applied Sciences and Technology from the Government of Chile. In 2015 he received the Eugene Mittelmann Award from IEEE.

摘要/Abstract

摘要： Model predictive control (MPC) has attracted widespread attention in both academic and industry communities due to its merits of intuitive concept, quick dynamic response, multi-variable control, ability to handle various nonlinear constraints, and so on. It is considered a powerful alternative to field oriented control (FOC) and direct torque control (DTC) in high performance AC motor drives. Compared to FOC, MPC eliminates the use of internal current control loops and modulation block, hence featuring very quick dynamic response. Compared to DTC, MPC uses a cost function rather than a heuristic switching table to select the best voltage vector, producing better steady state performance. In spite of the merits above, MPC also presents some drawbacks such as high computational burden, nontrivial weighting factor tuning, high sampling frequency, variable switching frequency, model/parameter dependence and relatively high steady ripples in torque and stator flux. This paper presents the state of the art of MPC in high performance induction motor (IM) drives, and in particular the progress on solving the drawbacks of conventional MPC. Finally, one of the improved MPC is compared to FOC to validate its superiority. It is shown that the improved MPC has great potential in the future high performance AC motor drives.

关键词: Model predictive control (MPC), field oriented control(FOC), direct torque control (DTC), induction motor (IM).

Abstract: Model predictive control (MPC) has attracted widespread attention in both academic and industry communities due to its merits of intuitive concept, quick dynamic response, multi-variable control, ability to handle various nonlinear constraints, and so on. It is considered a powerful alternative to field oriented control (FOC) and direct torque control (DTC) in high performance AC motor drives. Compared to FOC, MPC eliminates the use of internal current control loops and modulation block, hence featuring very quick dynamic response. Compared to DTC, MPC uses a cost function rather than a heuristic switching table to select the best voltage vector, producing better steady state performance. In spite of the merits above, MPC also presents some drawbacks such as high computational burden, nontrivial weighting factor tuning, high sampling frequency, variable switching frequency, model/parameter dependence and relatively high steady ripples in torque and stator flux. This paper presents the state of the art of MPC in high performance induction motor (IM) drives, and in particular the progress on solving the drawbacks of conventional MPC. Finally, one of the improved MPC is compared to FOC to validate its superiority. It is shown that the improved MPC has great potential in the future high performance AC motor drives.

Key words: Model predictive control (MPC), field oriented control(FOC), direct torque control (DTC), induction motor (IM).

Yongchang Zhang, Bo Xia, Haitao Yang, and Jose Rodriguez. Overview of Model Predictive Control for Induction Motor Drives[J]. 中国电气工程学报（英文）, 2016, 2(1): 62-76.

Yongchang Zhang, Bo Xia, Haitao Yang, and Jose Rodriguez. Overview of Model Predictive Control for Induction Motor Drives[J]. Chinese Journal of Electrical Engineering, 2016, 2(1): 62-76.

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Overview of Model Predictive Control for Induction Motor Drives

Overview of Model Predictive Control for Induction Motor Drives

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