Robust Model Predictive Control for PMSM Drives Against Parameter Mismatch

As an advanced control method of permanent magnet synchronous motor (PMSM), finite control set model predictive control (FCS-MPC) has earned widespread attention for its advantages of intuitive concept, splendid dynamic performance and capability of handling the constraints and objectives. Nevertheless, the dependence on the model parameter accuracy is the main barrier for FCS-MPC to be applied to the industry further. In order to solve this issue, this paper presents a robust FCS-MPC against parameter mismatch. The proposed strategy utilizes the prediction error in the d- and q-axis currents during the past instant to calculate the compensation which should be added to the predicted currents in the next instant. Meanwhile, the cost function in the proportional-integral form is designed as well. Finally, the simulation results and experimental results prove the proposed method's effectiveness in suppressing the influence of model parameter mismatch on the control performance of PMSM.