Improved Predictive Current Control of PMSM with Parameter Robustness

The predictive current control (PCC) possesses excellent control performance for the permanent magnet synchronous motor (PMSM). However, the time-varying electromagnetic parameters in the practical system cause serious deterioration in the control quality of the model-based predictive current controller. In this paper, a parameter robustness predictive current control (PR-PCC) algorithm for surface-mounted permanent magnet synchronous motors (SPMSM) is proposed. The proposed PR-PCC applies an iterative-based cost function and current observer to eliminate the steady-state error caused by parameter changes and the one-step delay caused by the sampling process. The simulation results show that the proposed method has good steady state and dynamic performance.