TY - GEN
T1 - Deadbeat Control of Permanent Magnet Synchronous Motor Based on MRAS Parameter Identification
AU - Fang, Haiyi
AU - Duan, Xiaoli
AU - Yang, Yang
AU - Wang, Yiyan
AU - Luo, Guangzhao
N1 - Publisher Copyright:
© 2020 The Institute of Electrical Engineers of Japan.
PY - 2020/11/24
Y1 - 2020/11/24
N2 - The deadbeat control is an effective way to promote the drive performance of permanent magnet synchronous machine (PMSM). However, the problems of time-varying electromagnetic parameters seriously affected the control accuracy of the model-based deadbeat controller. Therefore, an improved deadbeat current control method is proposed in this paper. In this method, we identify the motor parameters online through the model reference adaptive system (MRAS) and use the recognition results to modify the stator inductance and flux linkage of the deadbeat current control model. Simulation and experimental results demonstrate that the improved deadbeat control method has strongly robust to the variations of parameters, and it is testified to have better speed and current tracking performance.
AB - The deadbeat control is an effective way to promote the drive performance of permanent magnet synchronous machine (PMSM). However, the problems of time-varying electromagnetic parameters seriously affected the control accuracy of the model-based deadbeat controller. Therefore, an improved deadbeat current control method is proposed in this paper. In this method, we identify the motor parameters online through the model reference adaptive system (MRAS) and use the recognition results to modify the stator inductance and flux linkage of the deadbeat current control model. Simulation and experimental results demonstrate that the improved deadbeat control method has strongly robust to the variations of parameters, and it is testified to have better speed and current tracking performance.
KW - deadbeat current control
KW - model reference adaptive system
KW - parameter identification
KW - permanent magnet synchronous machine
UR - https://www.scopus.com/pages/publications/85099291019
U2 - 10.23919/ICEMS50442.2020.9291104
DO - 10.23919/ICEMS50442.2020.9291104
M3 - 会议稿件
AN - SCOPUS:85099291019
T3 - 23rd International Conference on Electrical Machines and Systems, ICEMS 2020
SP - 161
EP - 166
BT - 23rd International Conference on Electrical Machines and Systems, ICEMS 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 23rd International Conference on Electrical Machines and Systems, ICEMS 2020
Y2 - 24 November 2020 through 27 November 2020
ER -