TY - GEN
T1 - A Review of Permanent Magnet Synchronous Motor Parameter Identification Research
AU - Yang, Yapeng
AU - Zhang, Guoyuan
AU - Zhou, Yang
AU - Chen, Bo
AU - Ma, Rui
AU - Li, Zihao
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - Artificial intelligence algorithms
KW - Extended Kalman filter algorithm
KW - Model reference adaptive method
KW - Parameter identification
KW - Permanent magnet synchronous motor
KW - Recursive least squares
UR - http://www.scopus.com/inward/record.url?scp=85179511374&partnerID=8YFLogxK
U2 - 10.1109/IECON51785.2023.10312709
DO - 10.1109/IECON51785.2023.10312709
M3 - 会议稿件
AN - SCOPUS:85179511374
T3 - IECON Proceedings (Industrial Electronics Conference)
BT - IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society
PB - IEEE Computer Society
T2 - 49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023
Y2 - 16 October 2023 through 19 October 2023
ER -