Title :
Predictive control for permanent magnet synchronous machine based on automatic differentiation method
Author :
Jinglin, Liu ; Junshuo, Chen
Author_Institution :
REPM Electr. Machine & Control Technol. Inst., Northwestern Polytech. Univ., Xi´´an, China
Abstract :
In order to solve such problem as sensitivity to the load torque variations of traditional PI speed controller for permanent magnetism synchronous machine (PMSM), and to reduce the overshoot of system speed, a nonlinear predictive controller design for PMSM speed control system is proposed in this paper. For the problem that a Taylor series is not easy to obtain in nonlinear predictive control, the nonlinear predictive control based on automatic differentiation makes the process of solving Taylor series problem simple. On the basis of analysis, the Taylor series expansion of the mathematical model of PMSM based on automatic differentiation method is derived. The simulation results demonstrate that the nonlinear predictive control strategy makes system speed less overshoot, show robustness to load torque disturbance.
Keywords :
PI control; angular velocity control; control system synthesis; machine control; nonlinear control systems; permanent magnet machines; predictive control; synchronous machines; Taylor series expansion; automatic differentiation method; load torque variations; mathematical model; nonlinear predictive controller design; permanent magnet synchronous machine; traditional PI speed controller; Mathematical model; Pi control; Prediction algorithms; Predictive control; Predictive models; Taylor series; Torque;
Conference_Titel :
Electrical Machines and Systems (ICEMS), 2011 International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4577-1044-5
DOI :
10.1109/ICEMS.2011.6073392