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Recent Development of Predictive Encoderless Control for AC Motor Drives

Date: 21/05/2024
Time: 9:00 am
Presenter: Zhenbin Zhang
Abstract: Encoderless control for AC motor drives is an important technique to improve system reliability and reduce hardware cost. In recent years, fundamental/high frequency model-based observers, accompanied with vector control technique, has accomplished numerous advances and has been partially applied in industry areas. However, a single fundamental/high frequency model-based method cannot achieve full speed operation, requiring the combination of two methods. Recent studies have shown that predictive control has the potential to replace additional pulse-signal injection because it can accurately determine the output voltage pulse sequences, which can obtain the position information of the salient pole motor by detecting the current slope. This keynote aims to introduce the recent development of predictive encoderless control for AC motor drives. In addition to the expected combination of predictive control and pulse signal injection method, the combined predictive control with fundamental frequency model method will also be introduced.
Zhenbin Zhang
Prof. Zhang focuses on design and (predictive) control of renewable energy and power conversion systems, including interests of power electronics and motor drives, micro-grids with energy storage, and predictive maintenance of power conversion systems. Prof. Zhang is an IET Fellow, IET Chartered Engineer, IEEE Senior Member, and World Top 2% Scientists released by Stanford University. He was awarded the “VDE-AWARD-2017” for his contributions in advanced control for wind power generation and electrical drives. He was selected for the “1000-Talent” national program of China, and granted the Science Fund for Distinguished Young Scholars of Shandong Province, China. In addition, he won the First Prize of Science and Technology Award of China Electrotechnical Society, the Second Prize of both Shandong and Anhui Provincial Science and Technology Progress Award in 2023, 2022 and 2021, respectively, for his contributions in design and control of renewable energy and power conversion systems.