Two-Vector Robust Model Predictive Control Method For PMSM

In this paper, a method for optimizing the robustness of dual vector model predictive control is proposed. Firstly, the effect of model parameter mismatch on predictive control performance is analyzed, and it is proved that inductance and flux linkage have a significant effect on predictive control performance, while resistance has no significant effect on predictive control performance. In response to this viewpoint, a processing method was adopted to extract the information of flux linkage and inductance from the prediction error. Then, the inductance and flux linkage information extracted from the current prediction error were introduced into the prediction model to correct the erroneous inductance and flux linkage in the model, making the prediction model more accurate and achieve better control performance.