关键词: 不等厚永磁电机, 代理模型, 多目标优化, 粒子群算法, Kriging代理模型

Abstract: The unequal-thickness permanent magnet motor can effectively reduce the cogging torque,but it also causes the decrease of electromagnetic torque performance of the motor. For a permanent magnet DC motor, taking the magnetic pole eccentric distance and the maximum thickness of the permanent magnet center as independent variables, the cogging torque,electromagnetic torque and permanent magnet volume as the optimization objectives,the Kriging proxy model was used to establish the response relationship between the independent variables and the optimization objectives,and then the particle swarm optimization algorithm was used to find the optimal variable combination.The results showed that the optimized motor not only reduced the cogging torque, but also enabled the motor to have a higher average electromagnetic torque and reduced the volume of the permanent magnet.

Key words: unequal thickness permanent magnet motor, proxy model, multi-objective optimization, particle swarm optimization (PSO), Kriging proxy model