基于NSGA-Ⅱ的无刷直流电动机优化设计  

Optimum Design of Brushless DC Motors Based on NSGA-Ⅱ

作　　者：谢映宏[1] 刘景林[1] 杨南方[1] 

机构地区：[1]西北工业大学,陕西西安710072

出　　处：《微特电机》2011年第6期23-25,共3页Small & Special Electrical Machines

摘　　要：将改进型非支配排序遗传算法(NSGA-Ⅱ)应用于无刷直流电动机优化设计中,缩短电机设计周期,提高电机设计智能化程度。以效率和功率密度最高为目标,构建了基于NSGA-Ⅱ的电机多目标优化模型,采用VS2010开发平台进行了优化软件的开发,进行了一台50 W无刷直流电动机的优化设计。采用有限元分析软件Magnet验证了该算法在电机优化设计中的有效性。The improved No-domination Sorting Genetic Algorithm（NSGA-Ⅱ） was applied to the optimum design of the brushless DC motor（BLDCM）,to shorten the design period and to improve the intelligent degree of the design.Aiming at the highest efficiency and power density,the multi-objective optimization algorithm was constructed,and also the software was developed on VS2010 platform.A prototype of BLDCM rating 50 W was optimized by the proposed algorithm based on NSGA-Ⅱ.The optimization structure and the original one of the prototype were analyzed by the finite element analysis software Magnet.Results verify the validity of the proposed algorithm.

关 键 词：无刷直流电动机 NSGA-Ⅱ 优化设计 MAGNET 

分 类 号：TM33[电气工程—电机]