摘要
论文将混合Taguchi遗传算法(HTGA)引入到永磁电机的优化设计当中。HTGA具有Taguchi的局部寻优能力,又具有传统遗传算法(GA)的全局寻优能力,所以能更快速、更精确地寻找到问题的较优解或最优解,节省大量的计算时间,缩短研发周期。应用Taguchi方法来产生传统GA的子代个体,使更强壮的后代个体的参数特性得到遗传。本文建立了永磁电机的数学模型,将优化算法与永磁电机的基本电磁设计程序相结合,并将该优化设计程序应用于永磁电机的电磁设计中,得到了较好的优化效果。
Hybrid Taguchi genetic algorithm（ HTGA） is introduced in the optimal design of a PM motor in this paper. HTGA gains local optimization ability from Taguchi,and gets global optimization ability from traditional GA.As a result,it can find the solution to the problem faster and more precisely. Successfully applying HTGA to optimization design can save a lot of computing time,shorten the development cycle and reduce the labor intensity of designers. Offspring individuals of GA are generated by Taguchi method,so as to make sure that the stronger offspring characters can be inherited,which enhances the robustness of motor performance. A mathematical model of PM motor is established in this paper,and the optimization algorithm is combined with a basic electromagnetic design program of PM motor. The optimization design program is applied to a PM motor electromagnetic design,and calculation results show that properly applying HTGA in motor design process can achieve good optimization effects.
出处
《电工电能新技术》
CSCD
北大核心
2015年第1期23-27,46,共6页
Advanced Technology of Electrical Engineering and Energy
基金
国家自然科学基金(51077093)
教育部创新团队发展计划(IRT1072)资助项目
