Abstract: In order to improve the torque ripple and flux ripple in the model predictive control system of PMSM (Permanent Magnet Synchronous Motor), a control system scheme is designed by learning the basic structure and control methods of PMSM. The scheme adjusts the duty cycle and voltage vector synchronously. The optimal expected voltage vector and action time at a certain sampling time are selected, and the optimal expected voltage vector and action time at the current sampling time are added to adjust the duty cycle coefficient of the sampling time. The feasibility and effectiveness of this method in improving the control performance of PMSM are verified by comparative analysis of the simulation model.

Key words: permanent magnet synchronous motor ( PMSM), model predictive control, duty cycle, torque pulsation, magnetic chain pulsates