TY - GEN
T1 - Research on high frequency pulsating voltage signal injection method of IPMSM based on gradient descent method
AU - Li, Yan
AU - Chen, Zhen
AU - Gao, Congzhe
AU - Zhao, Jing
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - In the low-speed sensorless control of interior permanent magnet synchronous motor (IPMSM) drive system, the pulsating high frequency signal injection method is often used to estimate the rotor position by tracking the salient polarity of the motor. Because of the influence of inverter nonlinearity and load disturbance, it is difficult to observe the position information in the current response through the traditional phase-locked loop (PLL). Based on the traditional PLL, an improved observer is proposed in this paper. The gradient descent method is used to update the parameters of PLL parameters online, which not only ensures the accuracy of position extraction, but also has certain robustness to load disturbance. The correctness of the method is verified by simulation analysis.
AB - In the low-speed sensorless control of interior permanent magnet synchronous motor (IPMSM) drive system, the pulsating high frequency signal injection method is often used to estimate the rotor position by tracking the salient polarity of the motor. Because of the influence of inverter nonlinearity and load disturbance, it is difficult to observe the position information in the current response through the traditional phase-locked loop (PLL). Based on the traditional PLL, an improved observer is proposed in this paper. The gradient descent method is used to update the parameters of PLL parameters online, which not only ensures the accuracy of position extraction, but also has certain robustness to load disturbance. The correctness of the method is verified by simulation analysis.
KW - Gradient descent method
KW - Interior permanent magnet synchronous motor
KW - Pulsating voltage signal injection method
KW - Sensorless control
UR - http://www.scopus.com/inward/record.url?scp=85125180734&partnerID=8YFLogxK
U2 - 10.1109/CCDC52312.2021.9602152
DO - 10.1109/CCDC52312.2021.9602152
M3 - Conference contribution
AN - SCOPUS:85125180734
T3 - Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021
SP - 4646
EP - 4651
BT - Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 33rd Chinese Control and Decision Conference, CCDC 2021
Y2 - 22 May 2021 through 24 May 2021
ER -