Robust Predictive Torque Control of PMSM Using Self-correcting Model

In finite control set-model predictive torque control of permanent magnet synchronous motor, the predictive model is usually obtained by directly discretizing the continuous state equations. This method is an open-loop prediction model. In the case of parameter mismatch, the prediction error will be introduced, which will lead to the decrease of control performance and even the system instability. To solve this problem, a robust predictive torque control of PMSM using self-correcting model is proposed. The open-loop stator current prediction equation is abandoned, and the closed-loop stator current prediction equation is proposed using the feedback mechanism. In the stator flux prediction equations, the voltage model and current model are integrated, and the switching between them is controlled by PI regulator. In addition, the stability theory and parameter design method of closed-loop current model and closed-loop flux model are studied. The experimental results verify the effectiveness of the proposed method.