An Improved Prediction Control Model for PMSM with Active Disturbance Rejection and Feed-Forward Control Strategy

An improved control strategy combining feedforward control and deadbeat control is adopted to solve the problem of steady-state error and severe chattering caused by parameter perturbation in the deadbeat current predictive control system of permanent magnet synchronous motor (PMSM) and to reduce the current and torque pulsation caused by parameter perturbation. A fast dynamical response strategy combining sliding-mode disturbance observer and fractional integral compensation is proposed to solve the problem of steady-state error increasing caused by introducing ordinary feed-forward control strategy. The second-order sliding mode approach law based on the sgn function is adopted to the sliding mode surface of the observer to further suppress the interference terms except for the parameter disturbance. The traditional deadbeat current predictive control model, the improved current predictive model with the common feedforward control strategy, and the improved prediction model with the sliding mode disturbance observer in the feedforward path and the fractional order integral compensation strategy are simulated and compared. Simulation results show that the effectiveness of the proposed model in eliminating the steady-state error caused by parameter disturbances and in reducing the current pulsation is verified under various working conditions, and both the robustness and the dynamic performance of the PMSM speed regulation system are effectively improved. © 2021, Editorial Office of Journal of Xi'an Jiaotong University. All right reserved.