Two-Vector Model Predictive Control of Permanent Magnet Synchronous Motor Based on Sliding Mode Control

Abstract

To solve the problem of motor control performance degradation caused by parameter mismatch in model predictive control of permanent magnet synchronous motor (PMSM), two-vector model predictive current control of PMSM based on sliding mode control is proposed. Firstly, the mathematical model of the motor in the process of parameter perturbation is analyzed and derived, and the super local model of the motor is established based on this mathematical model. Secondly, the two-vector model is built based on the new hyperlocal model. Then, a sliding mode disturbance observer is designed based on modern control theory, and the unknown part is accurately observed. At the same time, the stability of the sliding mode disturbance observer is proved by Lyapunov theory. Finally, compared with the simulation results of traditional single vector model predictive control, the results show that the improved method can effectively improve the anti-interference of PMSM when parameter perturbation occurs, and enhance the system robustness.