A Review of Permanent Magnet Synchronous Motor Parameter Identification Research

Yapeng Yang, Guoyuan Zhang,Yang Zhou,Bo Chen,Rui Ma, Zihao Li

IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society(2023)

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摘要
With the advantages of light weight, small size, simple structure, high efficiency, and high power density, permanent magnet synchronous motors have become the main choice of major new energy vehicle enterprises. However, under complex vehicle driving conditions, the electromagnetic parameters of permanent magnet synchronous motors change due to temperature changes, cross-coupling effects, and magnetic saturation of the core, which affect the performance of the motor control system. Therefore, fast and accurate identification of motor electromagnetic parameters is required to ensure the performance and reliability of the motor control system. By summarizing the literature, this paper analyzes the reasons for electromagnetic parameter transformation, compares the advantages and disadvantages of various electromagnetic parameter identification algorithms, points out the potential future development direction of identification algorithms, and provides ideas for future research on parameter identification algorithms.
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关键词
Artificial intelligence algorithms,Extended Kalman filter algorithm,Model reference adaptive method,Permanent magnet synchronous motor,Parameter identification,Recursive least squares
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