关键词: 永磁辅助同步磁阻电机, 混合磁体, 遗传算法, 多目标优化

Abstract: Aiming at the problem of irreversible demagnetization of ferrite-assisted synchronous reluctance motor due to the large amount of rare earth permanent magnet used in built-in permanent magnet synchronous motor, the hybrid magnet of ferrite and rare earth was proposed to replace the seriously demagnetized area of ferrite with rare earth permanent magnet and a mixed magnetic-assisted synchronous reluctance motor was built. Considering the large torque ripple of the motor and the large number of optimization parameters, a multi-objective optimization analysis method based on the combination of
genetic algorithm and Taguchi method was adopted to reduce the torque ripple and increase the average torque as optimization objectives, taking the rotor structure parameters of the motor as optimization variables. Compared with the traditional genetic algorithm, the multi-objective optimization method not only improved the average torque, reduced the torque ripple and rare earth consumption. but also reduced the computation. The load torque experiment was carried out with the prototype, and the error between the experimental measured value and the finite element simulation value was less than 5%, which proved the correctness of the finite element simulation and the analysis results.

Key words: permanent magnet auxiliary synchronous reluctance motor ( PMaSynRM ), hybrid magnet, genetic algorithm, multi-objective optimization