Optimization of a Permanent Magnet-assisted Switching Reluctance Motor Based On the Iterative Optimization Strategy of NSGA-III

In order to improve the torque performance and vibration characteristics of the permanent magnet-assisted switched reluctance motor, a multi-objective optimization design method of permanent magnet-assisted switched reluctance motor based on the iterative optimization strategy of NSGA-III is proposed. Firstly, the basic structure of the permanent magnet-assisted switched reluctance motor is introduced. Secondly, the mathematical model of the motor was established using CCD response surface experiments and neural networks, and correlation coefficient analysis was performed. Then, the NSGA-III algorithm was introduced to clarify the principle of the iterative optimization strategy. Then, the multi-objective optimization design of the motor was carried out according to the proposed strategy, finally, the optimization results were verified and analyzed by using finite element simulation software.