TY - GEN
T1 - A high-efficiency PMSM sensorless control approach based on MPC controller
AU - Gao, Jinqiu
AU - Liu, Jinglin
AU - Gong, Chao
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/12/26
Y1 - 2018/12/26
N2 - As the applications of permanent magnet synchronous motor (PMSM) become wide, the demand for high-performance control accuracy of PMSM drive systems is getting higher. It is true that the traditional dual-proportional-integral (PI) loop control strategy is widely used in PMSM drive systems. However, tuning parameters is difficult. In addition, when the system parameters (e.g., motor resistance) change, the output performance of PI controller degrades dramatically. In order to improve the capability of resisting disturbance, this paper presents a sensorless model predictive vector control for PMSM. First, it builds a discrete model of PMSM by using first-order Euler method. Second, a new single-loop model predictive control (MPC) based on back-electromotive force and I-F control is proposed, which simplifies the system structure and control algorithm. Finally, the simulation and experimental results verify that the MPC has high dynamic and steady-state performance.
AB - As the applications of permanent magnet synchronous motor (PMSM) become wide, the demand for high-performance control accuracy of PMSM drive systems is getting higher. It is true that the traditional dual-proportional-integral (PI) loop control strategy is widely used in PMSM drive systems. However, tuning parameters is difficult. In addition, when the system parameters (e.g., motor resistance) change, the output performance of PI controller degrades dramatically. In order to improve the capability of resisting disturbance, this paper presents a sensorless model predictive vector control for PMSM. First, it builds a discrete model of PMSM by using first-order Euler method. Second, a new single-loop model predictive control (MPC) based on back-electromotive force and I-F control is proposed, which simplifies the system structure and control algorithm. Finally, the simulation and experimental results verify that the MPC has high dynamic and steady-state performance.
KW - Model predictive control
KW - PMSM
KW - Sensorless control
KW - Single-loop control
UR - http://www.scopus.com/inward/record.url?scp=85061531061&partnerID=8YFLogxK
U2 - 10.1109/IECON.2018.8591305
DO - 10.1109/IECON.2018.8591305
M3 - 会议稿件
AN - SCOPUS:85061531061
T3 - Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society
SP - 2171
EP - 2176
BT - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018
Y2 - 20 October 2018 through 23 October 2018
ER -