TY - GEN
T1 - Speed Feedforward Control Method Based on Improved Adaptive Filter for Permanent Magnet Synchronous Motor
AU - Wang, Yiyan
AU - Xue, Zhao
AU - Duan, Xiaoli
AU - Liu, Yilun
AU - Luo, Guangzhao
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/8
Y1 - 2019/8
N2 - An adaptive filter is used as the speed loop controller for permanent magnet synchronous motor (PMSM) drive system to improve the dynamic and anti-disturbance performance. The weightings of the filter are adjusted by the normalized least mean square (NLMS) filtering algorithm, so that the transfer function of the controller is equivalent to the inverse model of the controlled plant in the system. At the same time, the weightings of the filter are transferred to the speed feedforward controller in time, which makes the transfer function can approximate to the inverse model of the controlled plant. Then, the feedforward control and speed tracking are realized. In addition, a second-order extended state observer (ESO) is designed to estimate and compensate the total disturbances of the system. Simulation results verify the effectiveness of the proposed method.
AB - An adaptive filter is used as the speed loop controller for permanent magnet synchronous motor (PMSM) drive system to improve the dynamic and anti-disturbance performance. The weightings of the filter are adjusted by the normalized least mean square (NLMS) filtering algorithm, so that the transfer function of the controller is equivalent to the inverse model of the controlled plant in the system. At the same time, the weightings of the filter are transferred to the speed feedforward controller in time, which makes the transfer function can approximate to the inverse model of the controlled plant. Then, the feedforward control and speed tracking are realized. In addition, a second-order extended state observer (ESO) is designed to estimate and compensate the total disturbances of the system. Simulation results verify the effectiveness of the proposed method.
KW - adaptive filter
KW - extended state observer
KW - feedforward control
KW - normalized least mean square filtering algorithm
KW - PMSM
UR - http://www.scopus.com/inward/record.url?scp=85077114463&partnerID=8YFLogxK
U2 - 10.1109/ICEMS.2019.8922058
DO - 10.1109/ICEMS.2019.8922058
M3 - 会议稿件
AN - SCOPUS:85077114463
T3 - 2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019
BT - 2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 22nd International Conference on Electrical Machines and Systems, ICEMS 2019
Y2 - 11 August 2019 through 14 August 2019
ER -