معرفی
Kaiyuan Lu is an Associate Professor at Aalborg University's Faculty of Engineering and Science, affiliated with the Mechatronic Systems department. He specializes in advanced motor control systems, energy-efficient drives, and renewable energy applications. His research focuses on sensorless control, parameter uncertainty mitigation in electric drives, and optimal control strategies for refrigeration systems.
Education details are not explicitly stated in the provided text, but his academic trajectory aligns with a PhD in Electrical Engineering or related field, given his current rank and research output.
Research interests include Permanent Magnet Synchronous Motor (PMSM) drives, machine learning-enhanced control systems, energy harvesting, and high-dynamic compressor systems. His work bridges theoretical advancements in control algorithms with practical industrial applications, such as improving refrigeration compressor efficiency and developing robust sensorless drive solutions.
He has supervised 7 PhD students, including Cai R. and Schou M. M., and led/co-led 22 research projects, including 'Machine Learning Improved Sensorless Control for PMSM Drives' (2025–2027) and 'Optimal Control for Refrigeration Compressor Systems in High Dynamics Situations' (2023–2025).
Labs/Teams: Active contributor to AAU Energy's research initiatives, collaborating on projects involving I-F startup methods and web search-based control solutions for compressors.
