TY - GEN
T1 - A Back-EMF Sliding-Mode Observer for PMSM Sensorless Control with Online Stator Resistance Estimation
AU - Wang, Yaxuan
AU - Wang, Bo
AU - Du, Pengcheng
AU - Xu, Dianguo
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - In permanent magnet synchronous motor (PMSM) drive systems, the model-based sensorless control methods are widely used due to the limitations of position sensors. However, the stator resistance changes with the external temperature. Thus, the stator resistance in the model is no longer accurate, affecting the accuracy of observation. To improve the parameter robustness, an extended back electromotive force (EMF) sliding-mode observer is proposed with online resistance estimation. The Lyapunov function is used to design the adaptive law of resistance estimation. Then, it is applied to the observer to eliminate the influence of resistance mismatch. The observer gain is designed reasonably according to stability analysis. The experimental results show the superiority of the proposed method.
AB - In permanent magnet synchronous motor (PMSM) drive systems, the model-based sensorless control methods are widely used due to the limitations of position sensors. However, the stator resistance changes with the external temperature. Thus, the stator resistance in the model is no longer accurate, affecting the accuracy of observation. To improve the parameter robustness, an extended back electromotive force (EMF) sliding-mode observer is proposed with online resistance estimation. The Lyapunov function is used to design the adaptive law of resistance estimation. Then, it is applied to the observer to eliminate the influence of resistance mismatch. The observer gain is designed reasonably according to stability analysis. The experimental results show the superiority of the proposed method.
KW - Permanent magnet synchronous motor
KW - online stator resistance estimation
KW - sliding-mode observer
UR - https://www.scopus.com/pages/publications/85182319027
U2 - 10.1109/ICEMS59686.2023.10345366
DO - 10.1109/ICEMS59686.2023.10345366
M3 - 会议稿件
AN - SCOPUS:85182319027
T3 - 2023 26th International Conference on Electrical Machines and Systems, ICEMS 2023
SP - 2683
EP - 2687
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 -