TY - GEN
T1 - Online Inductance Identification for PMSM Sensorless Control Immune to Position Error
AU - Xue, Jiqing
AU - Wang, Qiwei
AU - Wang, Gaolin
AU - Zhang, Guoqiang
AU - Xu, Dianguo
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The accuracy of position sensorless control depends largely on the permanent magnet synchronous motor (PMSM) inductance. Meanwhile, the PMSM inductance identification methods require the accurate rotor position. In position sensorless control, there is generally an angle deviation between the observed rotor position and the real rotor position, which will lead to error in PMSM parameters identification. In this paper, a relative rotation axis system and its high-frequency (HF) equivalent impedance model are proposed, in which the PMSM inductance identification and the rotor position error are decoupled. Therefore, by injecting the HF voltage signal, the PMSM inductance in position sensorless control can be accurately identified, which is immune to the rotor position error in position sensorless control. The experimental results show the effectiveness of the proposed PMSM inductance online identification method under different operation conditions.
AB - The accuracy of position sensorless control depends largely on the permanent magnet synchronous motor (PMSM) inductance. Meanwhile, the PMSM inductance identification methods require the accurate rotor position. In position sensorless control, there is generally an angle deviation between the observed rotor position and the real rotor position, which will lead to error in PMSM parameters identification. In this paper, a relative rotation axis system and its high-frequency (HF) equivalent impedance model are proposed, in which the PMSM inductance identification and the rotor position error are decoupled. Therefore, by injecting the HF voltage signal, the PMSM inductance in position sensorless control can be accurately identified, which is immune to the rotor position error in position sensorless control. The experimental results show the effectiveness of the proposed PMSM inductance online identification method under different operation conditions.
KW - online inductance identification
KW - permanent magnet synchronous motor (PMSM)
KW - position sensorless control
KW - relative rotation axis
UR - https://www.scopus.com/pages/publications/85174600553
U2 - 10.1109/SLED57582.2023.10261360
DO - 10.1109/SLED57582.2023.10261360
M3 - 会议稿件
AN - SCOPUS:85174600553
T3 - 2023 IEEE International Symposium on Sensorless Control for Electrical Drives, SLED 2023
BT - 2023 IEEE International Symposium on Sensorless Control for Electrical Drives, SLED 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE International Symposium on Sensorless Control for Electrical Drives, SLED 2023
Y2 - 16 August 2023 through 18 August 2023
ER -