Prediction Error Elimination in Two-Step Model Predictive Current Control Based on Incremental Model for PMSMs

The utilization of incremental models is a straightforward and effective method to improve the robustness of model predictive control (MPC). However, there is prediction error caused by system disturbance in the incremental predictive model, which accumulates during two-step prediction and leads to deterioration of control performance. This paper explains the source of the prediction error by reorganizing the mathematical model of the increment current. Then, an improved incremental model is proposed to provide the accurate current prediction. Finally, the effectiveness of the proposed strategy is verified through comparative experiments, in which the proposed method demonstrates superior steady-state and dynamic-state performances than the MPC based on the existing incremental model.