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基于改进遗传算法的永磁同步电动机优化设计
引用本文:陈桂玉,汤宁平,李东旭.基于改进遗传算法的永磁同步电动机优化设计[J].防爆电机,2011,46(1):5-9.
作者姓名:陈桂玉  汤宁平  李东旭
作者单位:福州大学电气工程与自动化学院,福建福州,350108
摘    要:由于永磁体在永磁同步电动机成本中占有一定比例,在保证电机性能指标的前提下,对永磁体体积进行优化.同时介绍了改进遗传算法在电机优化设计中的应用,并对采用基本遗传算法和改进遗传算法的优化设计结果进行比较,得出了改进遗传算法寻优收敛速度较快,优化结果精度较高的结论.

关 键 词:永磁同步电动机  遗传算法  优化设计  永磁体

Optimization Design of PMSM based on Improved Genetic Algorithm
Chen Guiyu,Tang Ningping,Li Dongxu.Optimization Design of PMSM based on Improved Genetic Algorithm[J].Explosion-proof Electric Machine,2011,46(1):5-9.
Authors:Chen Guiyu  Tang Ningping  Li Dongxu
Affiliation:Chen Guiyu,Tang Ningping,and Li Dongxu
Abstract:Based on the premise of guaranteeing performance index of permanent magnet synchronous motor,considering that the permanent magnet is in a certain proportion of motor cost,the volume of permanent magnet is optimized.In this paper,the application of improved genetic algorithm in optimization design is introduced,and then the optimization design results of basic genetic algorithm and improved genetic algorithm are compared.The conclusion that the improved genetic algorithm has more quick searching and convergence speed and higher precision optimization result is reached.
Keywords:PMSM  genetic algorithm  optimization design  permanent magnet
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