TY - JOUR
T1 - Deadbeat Predictive Current Control with Disturbance Observer for Permanent Magnet Synchronous Motor
AU - Chuntao, Zhang
AU - Ruina, Dang
AU - Yang, Wang
AU - Chengning, Zhang
AU - Shuo, Zhang
N1 - Publisher Copyright:
© 2020 IOP Publishing Ltd. All rights reserved.
PY - 2020/6/11
Y1 - 2020/6/11
N2 - Deadbeat predictive current control (DPCC) is a kind of motor control method with excellent dynamic response performance. To increase the parameter robustness of DPCC, a disturbance observer (DO) is designed based on the extended Kalman filter (EKF). Firstly, this paper derives the DPCC method based on the mathematical model of permanent magnet synchronous motor (PMSM). Then, the DO is designed based on the EKF. The voltage disturbances caused by parameters mismatch are selected as the state vector, and the voltage disturbances at each time are calculated by the EKF iteratively. Thus, a novel control algorithm combining DPCC with DO is proposed. The simulation results of DPCC method are compared with the results of DPCC+DO method to verify the effectiveness of the proposed method.
AB - Deadbeat predictive current control (DPCC) is a kind of motor control method with excellent dynamic response performance. To increase the parameter robustness of DPCC, a disturbance observer (DO) is designed based on the extended Kalman filter (EKF). Firstly, this paper derives the DPCC method based on the mathematical model of permanent magnet synchronous motor (PMSM). Then, the DO is designed based on the EKF. The voltage disturbances caused by parameters mismatch are selected as the state vector, and the voltage disturbances at each time are calculated by the EKF iteratively. Thus, a novel control algorithm combining DPCC with DO is proposed. The simulation results of DPCC method are compared with the results of DPCC+DO method to verify the effectiveness of the proposed method.
UR - http://www.scopus.com/inward/record.url?scp=85087062215&partnerID=8YFLogxK
U2 - 10.1088/1757-899X/853/1/012015
DO - 10.1088/1757-899X/853/1/012015
M3 - Conference article
AN - SCOPUS:85087062215
SN - 1757-8981
VL - 853
JO - IOP Conference Series: Materials Science and Engineering
JF - IOP Conference Series: Materials Science and Engineering
IS - 1
M1 - 012015
T2 - 6th International Conference on Electrical Engineering, Control and Robotics, EECR 2020
Y2 - 10 January 2020 through 12 January 2020
ER -