Multi-Objective Optimization of Asymmetric PM-Assisted Synchronous Reluctance Motor Based on NSGA-III

Reluctance motor has the advantages of simple structure, low amount of permanent magnet and high stability. But reluctance motor's limited torque density hinders its widespread application. However, the problem of high torque ripple caused by the asymmetric topology of the permanent magnet still needs further optimization. Firstly, the structure of APMA-SynRM and the parameters to be optimized are introduced. The APMA-SynRM optimization steps are then designed. Then, the range of optimization variables is determined by parametric scanning of APMA-SynRM parameters, and the response surface of APMA-SynRM is established. The final optimal design was obtained by non-dominating genetic algorithm (NSGA-III), In conclusion, the comparison and analysis of the key performance indicators before and after APMA-SynRM optimization are presented.