东南大学学报（英文版）2009，Vol.25Issue(2)：203-207,5.
基于新型自适应遗传算法的直线感应电机的优化设计
Optimization of linear induction machines based on a novel adaptive genetic algorithm
庄英超 1余海涛 1夏军 2胡敏强1
作者信息
- 1. 东南大学电气工程学院,南京,210096
- 2. 江苏科学宫,南京,210013
- 折叠
摘要
Abstract
In order to improve the thrust-power ratio index of the linear induction motor(LIM), a novel adaptive genetic algorithm (NAGA) is proposed for the design optimization of the LIM. A good-point set theory that helps to produce a uniform initial population is used to enhance the optimization efficiency of the genetic algorithm. The crossover and mutation probabilities are improved by using the function of sigmoid and they can be adjusted nonlinearly between average fitness and maximal fitness with individual fitness. Based on the analyses of different structures between the LIM and the rotary induction motor (RIM) and referring to the analysis method of the RIM, the steady-state characteristics of the LIM that considers the end effects of the LIM is calculated and the optimal design model of the thrust-power ratio index is also presented. Through the comparison between the optimal scheme and the old scheme, the thrust-power ratio index of the LIM is obviously increased and the validity of the NAGA is proved.关键词
自适应遗传算法/直线感应电机/均匀设计Key words
adaptive genetic algorithm/linear induction machine/uniform design分类
信息技术与安全科学引用本文复制引用
庄英超,余海涛,夏军,胡敏强..基于新型自适应遗传算法的直线感应电机的优化设计[J].东南大学学报（英文版）,2009,25(2):203-207,5.
