A Combined Model Predictive Current Control for SPMSM Drive with Improved Robustness and Control Precision

In order to enhance robustness against parameter mismatch and improve the steady-state performance, an improved finite control set-model predictive control (FCS-MPC) method for surface-mounted permanent magnet synchronous motor (SPMSM) is proposed in this paper. First, the incremental prediction model is used to eliminate the influence of permanent magnet flux linkage, and discrete space modulation technique is applied to improve the steady-state error and decrease the current fluctuation. Then, the prediction error caused by parameter mismatch is derived and a novel feed-forward compensation method is proposed. In order to improve the accuracy of compensation term and mitigate the negative influence caused by current sampling noise, the compensation coefficient is filtered. Simulation results confirm that good transient and steady-state performance can be guaranteed using the proposed method even when motor parameters deviate sharply from their nominal values. In addition, the method proposed is also robust to disturbance existing in current sampling and DC bus voltage.