Multi-modal optimal design of permanent magnet synchronous motor based on improved firefly algorithm
The structural parameter selection of permanent magnet synchronous motor(PMSM)is often a multi-modal and nonlinear optimization problem.At the same time,the structural optimization design of PMSM has some problems,such as long computational analysis time,low computational efficiency and slow convergence.In order to solve these problems,a novel multimodal optimization algorithm based on improved firefly algorithm was proposed.In the improved firefly algorithm,the concept of contour lines was introduced and the sub-computation region was determined adaptively through Kriging surrogate mod-el,so as to obtain multiple global optimal solutions and local solutions,and simplex method was intro-duced and stop condition was improved to improve efficiency of the algorithm.In addition,a stratified leave-one-out method was studied to verify accuracy of the surrogate model.Finally,it is applied to the structure optimization of PMSM,and the cogging torque is successfully reduced by 38.33%.
NETL
NSTL
万方数据
维普
