An Improved Implicit Model Predictive Current Control With Continuous Control Set for PMSM Drives
Xin Jiang, Yong Yang, Mingdi Fan, Aiming Ji, Yang Xiao, Xinan Zhang, Wei Zhang, Cristian García, Sergio Vázquez, José Rodríguez
Abstract
This article proposes an improved implicit model predictive current control (IMPCC) method for permanent magnet synchronous motor (PMSM) drives. Compared to the conventional implicit MPC, the proposed IMPCC has a much lower computational burden and thus is suitable for real-time applications. Two-step optimization is employed in this method to minimize the cost function based on continuous control set (CCS) while respecting the constraints. Furthermore, the proposed IMPCC uses an incremental model that eliminates the permanent magnet flux linkage. Its strong parameter robustness against stator resistance and inductance variations is also theoretically analyzed. Experimental results are presented to show the superior performance of the proposed IMPCC.