TY - GEN
T1 - Speed Fluctuation Suppression of Current Scaling Errors Based on Improved Iterative Learning Control Method
AU - Mu, Haoyi
AU - Yu, Guodong
AU - Li, Shaobin
AU - Zhu, Pengcheng
AU - Xu, Yongxiang
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - In recent years, there has been a growing demand for high-precision speed control of permanent magnet synchronous motor (PMSM), drawing significant attention to the issue of inherent current measurement errors in drive control. This paper presents a novel approach to mitigate periodic speed fluctuations using an expert system-based iterative learning control (ILC) method. The proposed method employs an expert system to dynamically adjust the weight values of the memory factor during online updates. This ensures the calculated relaxation factor optimally suppresses speed fluctuations across all operating conditions. Furthermore, the stability and parameter tuning aspects are analyzed from the perspective of transfer functions, and the feasibility of the proposed method is demonstrated through simulation.
AB - In recent years, there has been a growing demand for high-precision speed control of permanent magnet synchronous motor (PMSM), drawing significant attention to the issue of inherent current measurement errors in drive control. This paper presents a novel approach to mitigate periodic speed fluctuations using an expert system-based iterative learning control (ILC) method. The proposed method employs an expert system to dynamically adjust the weight values of the memory factor during online updates. This ensures the calculated relaxation factor optimally suppresses speed fluctuations across all operating conditions. Furthermore, the stability and parameter tuning aspects are analyzed from the perspective of transfer functions, and the feasibility of the proposed method is demonstrated through simulation.
KW - Current scaling error
KW - Expert system
KW - Iterative learning control
KW - Permanent magnet synchronous motor
KW - Speed fluctuation suppression
UR - https://www.scopus.com/pages/publications/85182319351
U2 - 10.1109/ICEMS59686.2023.10344811
DO - 10.1109/ICEMS59686.2023.10344811
M3 - 会议稿件
AN - SCOPUS:85182319351
T3 - 2023 26th International Conference on Electrical Machines and Systems, ICEMS 2023
SP - 1026
EP - 1031
BT - 2023 26th International Conference on Electrical Machines and Systems, ICEMS 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 26th International Conference on Electrical Machines and Systems, ICEMS 2023
Y2 - 5 November 2023 through 8 November 2023
ER -