TY - GEN
T1 - A Thrust Ripple Suppression Strategy of PMLSM Based on Resonant Disturbance Observer with Optimal Gain and Phase Compensation
AU - Wang, Anpeng
AU - Li, Liyi
AU - Huang, Xuzhen
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - A thrust ripple suppression strategy of PMLSM is proposed based on a multi-resonant disturbance observer. To avoid anomalous gain peaks, a tuning method for resonant gain and compensation phase is designed through the loop shaping for disturbance estimation error sensitivity. The optimal stability margin is achieved. The disturbance and measurement noise sensitivity function of the velocity closed-loop system is analyzed to verify the superiority of the proposed parameter tuning methods for multiple harmonic disturbance suppression. Effective experiment and simulation results are included.
AB - A thrust ripple suppression strategy of PMLSM is proposed based on a multi-resonant disturbance observer. To avoid anomalous gain peaks, a tuning method for resonant gain and compensation phase is designed through the loop shaping for disturbance estimation error sensitivity. The optimal stability margin is achieved. The disturbance and measurement noise sensitivity function of the velocity closed-loop system is analyzed to verify the superiority of the proposed parameter tuning methods for multiple harmonic disturbance suppression. Effective experiment and simulation results are included.
KW - Resonant disturbance observer
KW - parameter tuning.
KW - permanent linear synchronous motor
KW - thrust ripple suppression
UR - https://www.scopus.com/pages/publications/85182329412
U2 - 10.1109/ICEMS59686.2023.10345175
DO - 10.1109/ICEMS59686.2023.10345175
M3 - 会议稿件
AN - SCOPUS:85182329412
T3 - 2023 26th International Conference on Electrical Machines and Systems, ICEMS 2023
SP - 2600
EP - 2605
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 -