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Abstract
A hybrid genetic algorithm (Is-hGA) parameter identification method based on local search was proposed to solve the anti-salient characteristics of interior permanent magnet synchronous motor (IPMSM) and the defects of traditional genetic algorithm (GA) parameter identification method. In this hybrid optimization method, genetic algorithm is used for global search and hill-climbing algorithm is used for local search. This can not only improve the poor local search ability of genetic algorithm, but also greatly save calculation time. This method can identify four parameters of stator resistance, d-q axis inductance and permanent magnet flux linkage simultaneously. The performance of traditional GA and proposed Is-hGA in IPMSM parameter identification is compared by constructing an experimental platform. As a result, the proposed method can have more accurate identification precise.
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No potential conflict of interest was reported by the author(s).
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Notes on contributors
Yilin Zhu
Yilin Zhu was born in Jiangsu, China, in 1993. He is an electrical engineer of Jiangsu Changjiang Intelligent Manufacturing Research Institute Co., Ltd. His research direction is control theory and control engineering.
Qi Chen
Qi Chen was born in Jiangxi, China, in 1994. He is an electrical engineer of Jiangsu Changjiang Intelligent Manufacturing Research Institute Co., Ltd. His research direction is electrical engineering and automation.
Kun Li
Kun Li was born in Jiangsu, China, in 1994. He received the M.S. degrees in mechanical engineering from the Jiangsu University of Technology, Changzhou, China, in 2020, where he is currently engaged in electrical research and development at Jiangsu Changjiang Intelligent Manufacturing Research Institute Co., Ltd.
Wei Yang
Wei Yang was born in Jiangsu, China, in 1997. He is a junior engineer of Jiangsu Changjiang Intelligent Manufacturing Research Institute Co., Ltd. His research direction is electrical engineering and automation.
Yun Huang
Yun Huang was born in Jiangsu, China, in 1997. He is an electrical engineer of Jiangsu Changjiang Intelligent Manufacturing Research Institute Co., Ltd. His research direction is electrical engineering and automation.