TY - GEN
T1 - Online Inductance Identification of PMSM Based on High Frequency Signal Injection into Virtual Axis
AU - Pan, Guancheng
AU - Wang, Qiwei
AU - Zhang, Kaiji
AU - Liu, Shaobo
AU - Wang, Gaolin
AU - Xu, Dianguo
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - The voltage equation-based method is the most commonly applied inductance identification method. However, the effectiveness of this method is affected by the parameter coupling and the rank deficient. To solve this problem, an online inductance identification method is proposed based on the virtual axis high-frequency (HF) sinusoidal voltage signal injection strategy. According to the virtual axis HF equivalent impedance model which includes the position information between the virtual axis and the dq axes, the dq-axis inductances can be calculated by extracting the HF signal of the virtual axis. The proposed method is able to make sure that the identified parameters decouples from other motor parameters and operating conditions and the method is immune to sensorless control position error. The dq-axis inductance can be identified without rank deficient at full operation conditions, especially at low current and speed condition. The proposed method is validated on a 2. 2kW PMSM drive.
AB - The voltage equation-based method is the most commonly applied inductance identification method. However, the effectiveness of this method is affected by the parameter coupling and the rank deficient. To solve this problem, an online inductance identification method is proposed based on the virtual axis high-frequency (HF) sinusoidal voltage signal injection strategy. According to the virtual axis HF equivalent impedance model which includes the position information between the virtual axis and the dq axes, the dq-axis inductances can be calculated by extracting the HF signal of the virtual axis. The proposed method is able to make sure that the identified parameters decouples from other motor parameters and operating conditions and the method is immune to sensorless control position error. The dq-axis inductance can be identified without rank deficient at full operation conditions, especially at low current and speed condition. The proposed method is validated on a 2. 2kW PMSM drive.
KW - permanent magnet synchronous motor (PMSM)
KW - virtual rotation coordinate system online inductance identification
UR - https://www.scopus.com/pages/publications/85146327361
U2 - 10.1109/ICEMS56177.2022.9982799
DO - 10.1109/ICEMS56177.2022.9982799
M3 - 会议稿件
AN - SCOPUS:85146327361
T3 - 2022 International Conference on Electrical Machines and Systems, ICEMS 2022
BT - 2022 International Conference on Electrical Machines and Systems, ICEMS 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 25th International Conference on Electrical Machines and Systems, ICEMS 2022
Y2 - 29 November 2022 through 2 December 2022
ER -