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Tutorial Proposal

“Model Predictive Control of AC Motor Drives”

Instructors: 

Yongchang Zhang, North China Electric Power University, zyc@ncepu.edu.cn

Abstract:  

Model predictive control (MPC) has attracted increasing attention in the area of ac motor drives due to its simple concept, fast transient response, and flexibility in incorporating various constraints. Hence, MPC is considered as a powerful and attractive alternative to the conventional FOC and DTC. However, MPC has not yet reached a mature stage for industrial applications. Many aspects, e.g., steady state performance improvement, weighting factor tuning, reduction of computational burden, robustness against parameter mismatches, etc. need to be further investigated. This tutorial takes the ac motor drive as an example and shows that how these problems in MPC are solved. The methodology and techniqe introduced in this tutorial can be extended to various kinds of ac machines and power converters.

Biographies: 

Yongchang Zhang 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, and was promoted to a full professor in January 2015. Since July 2021, he is a full professor at North China Electric Power University. He has published more than 100 technical papers in the area of motor drives, pulsewidth 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 serves as the associate/guest editor of several international journals, such as IEEE Journal of Emerging and Selected Topics in Power Electronics. He is the Technical Program Co-Chair of 5^th, 6^th and 7^th IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics.