Research on Predictive Control Algorithm of Optimization Model for a Five-Phase Permanent Magnet Synchronous Motor Based on Synthetic Voltage Vector Selection

This Traditional space vector control algorithms for five-phase permanent magnet synchronous motors (PMSMs) are widely used in control systems due to their simple structure and fast dynamic response. However, space vector control cannot effectively counteract the interference caused by the third and fifth harmonic spaces in five-phase PMSMs. This paper proposes an optimized model predictive flux control algorithm for five-phase PMSMs based on synthetic voltage vector selection. A virtual voltage vector set is constructed to eliminate the low-order stator current harmonics unique to five-phase motors. The rate of change of torque under different voltage vectors is analyzed, and the subsequent motor operating state is predicted using hysteresis comparison and model predictive control algorithms. An evaluation function is used to select the optimal virtual voltage vector.