Improved Controller Optimization of Flux-Weakening Strategy for Salient Permanent-Magnet Synchronous Motor Based on Genetic Algorithm

The main feature of an interior permanent magnet synchronous motor (IPMSM) is the reluctance torque, which increases the difficulty of regulating the motor current and torque. This is because the inductance of the stator across the air gap is not equal and vice versa in the surface-mounted PMSM. Thus, the field-oriented control (FOC) strategies of surface-mounted type is greatly desirable to the IPMSM. In this paper, some contributions of the FOC strategy are proposed. The primary objective is to achieve a high dynamic performance of the IPMSM in the region of flux-weakening under sudden torque turbulence and velocity fluctuation. The concentration of the proposed strategy is on the cost function of the parameter optimization, which is optimized based on a genetic algorithm to obtain parameters that will contribute to further driving stability in this region. Meanwhile, the improvement includes adjusting the saturation limits for the outer control loops to cancel the wave overshoots. Finally, the results of simulation and experimentation have fully verified the proposed approach. When compared to the classical strategy, the proposed algorithms can help decrease the settling time and the overshoot in both velocity and current.