关键词: 永磁涡流驱动器, 等效磁路, 熵值权重, 多目标优化, 变种群规模遗传算法

Abstract:

Based on equivalent magnetic circuit model， an optimum design method of permanent magnet eddy current driver (PMECD) was proposed by the variable population-size genetic algorithm (VPGA) which taken death and war factors into account. Firstly， analytical model was built and the analytical formulas of key parameters were deduced. On this basis， by using permanent magnet thickness， pole-arc coefficient， copper plate thickness and the number of permanent magnets as variables and taking output torque， rotational inertia and the volume of the driver as optimization goals， a multi-objective optimization function with entropy coefficients and the VPGA were proposed to optimize parameters structure of the driver. The validity and feasibility of the proposed method were proved by finite element analysis and experimental results. The results confirm that compared with other two optimization algorithms， optimization design result by the VPGA based on the analytical model has good effect on optimization of structural parameters.

Key words: permanent magnet eddy current driver, equivalent magnetic circuit, entropy-based weight, multi-objective optimization, variable population-size genetic algorithm