关键词: 粒子群优化, 差分进化, 永磁直线同步电动机(PMLSM), 有限元方法, 结构优化

Abstract:

Since most of traditional algorithms were applied to optimization design of linear motor structure to reduce the force ripple,the optimization efficiency was low for the premature convergence and slowed convergence speed of traditional algorithms,and the force ripple can not be calculated accurately by analytical method because of linear motor peculiar magnetic field effect.A hybrid optimization algorithm
(DEPSO) was proposed based on the combination of DE and PSO to overcome traditional algorithms limitations.Differential mutation,crossover and selection operators were employed to produce a personal best position in the process of particle evolution,the direction of particle evolution was optimized.Motor structure parameters were optimized based on combination of the FEM and DEPSO algorithm.The experimental results show that the detent peak force reduces significantly via the optimization,the proposed technique is proven to be effective for solving such problems.

Key words: particle swarm optimization(PSO), differential evolution(DE), permanent magnet linear synchronous motor(PMLSM), finite element method(FEM), structure optimization