Improving the Performance of Permanent Magnet Synchronous Motors Based on the Model Predictive Current Control Method

This research suggests a model predictive current control (MPCC) method to enhance the efficiency of permanent magnet synchronous motors (PMSM). In the suggested method, the system model forecasts stator current for all three-phase two-level voltage source inverter voltage vectors. The predictive current cost function, along with the reference current, is utilized to assess the current error at the subsequent sampling time. PMSM selects the voltage vectors with the lowest error function. MATLAB/Simulink is used to test the suggested MPCC method on a 1.5KW motor. The simulation result demonstrates that implementing the suggested MPCC method for controlling the PMSM leads to enhancements in current ripple reduction and torque response time when compared to both the field-oriented control (FOC) and the standard MPCC methods.