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Currently, fields including high-end manufacturing, new energy equipment, and rail transportation have placed ever-increasing demands on the steady-state and dynamic accuracy, disturbance rejection performance, and operational reliability of electrical machine systems. Model predictive control, sliding mode control, sensorless control, and system disturbance suppression represent core frontier directions in electrical machine control. This special session aims to gather scholars and engineering professionals from home and abroad, share the latest theoretical advances and technological breakthroughs, address technical challenges and solutions under complex operating conditions, advance the engineering adoption of advanced control methodologies, and boost the performance upgrading of electrical drive systems.
The topics of interest include, but are not limited to:
1. Model predictive control for electrical machine systems;
2. Sliding mode control for electrical machine systems;
3. Sensorless control for electrical machine systems;
4. Disturbance suppression technologies for electrical machine systems;
5. Other advanced control methods.
Prof. Xiaoguang Zhang, North China University of Technology, China
Assoc. Prof. Quntao An, Harbin Institute of Technology, China
Dr. Xin Yuan, University of Strathclyde, UK
Assoc. Prof. Jiabao Kou, Wenzhou University, China
Assoc. Prof. Danyang Bao, Shenzhen Polytechnic University, China
Dr. Zifeng Gong, North China University of Technology, China
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