基于小生境遗传算法的YKK系列高压电机优化设计  

The Application of the Niching Genetic Algorithm to Optimum Design of the YKK Series Induction Machine

作　　者：孟大伟[1] 徐磊[1] 吕海鹏[1] 

机构地区：[1]哈尔滨理工大学电气与电子工程学院,黑龙江哈尔滨150080

出　　处：《哈尔滨理工大学学报》2010年第2期1-3,8,共4页Journal of Harbin University of Science and Technology

基　　金：国家科技支撑重点项目(2008BAF34B04)

摘　　要：为了使YKK系列电机最终实现高效节能的目的,并且满足生产实际中所提出的各种约束要求,引入了小生境遗传算法进行电机的优化设计.针对中型高压电机定子成型线圈的结构以及三圆尺寸相对固定的实际情况,对小生境遗传算法进行相应的改进,有效地避免了优化算法易于局部收敛的问题.结果表明:与初始方案相比较,电机的设计结果满足了高效电机所提出的技术指标.并且电机的体积得到了缩小,节约了电机的有效材料.证明了改进的小生境遗传算法的可行性及优越性,并具有工程实用价值.In order to get the the YKK series motors to the ultimate purpose of achieving energy-efficient,and to meet the various request constraints set forth in the in the actual production,the paper introduces the niche genetic algorithm to the optimization of the motor design.For the forming structure of medium-sized high-voltage stator coils and the actual situation of three round relative fixed size,this article makes a corresponding improvements to the niche genetic algorithm,the proposed approach surmounts effectively the local convergence problem of standard genetic algorithm.The experimental results demonstrate thatcompared with the initial program,the ultimate design results of the electrical motors meet the technical specifications of the proposed efficiency motor.Furthermore,the size of motor has been reduced,which saves the effective materials of the motor.It proves the feasibility and advantages of niche genetic algorithm＇improvement,and more important is,it verifies the practical engineering value.

关 键 词：YKK系列电机 小生境遗传算法 优化设计 

分 类 号：TM343[电气工程—电机]