| 基于新型自适应遗传算法的直线感应电机的优化设计(英文) |
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| 引用本文： | 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(英文)[J].东南大学学报,2009,25(2):203-207. |
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| 作者姓名： | 庄英超 余海涛 夏军 胡敏强 |
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| 作者单位： | 庄英超,余海涛,胡敏强,Zhuang Yingchao,Yu Haitao,Hu Minqiang(东南大学电气工程学院,南京,210096);夏军,Xia Jun(江苏科学宫,南京,210013) |
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| 摘 要： | 为了提高直线感应电机的力能指标,提出一种新型自适应遗传算法,并对直线感应电机进行了优化设计.采用佳点集理论对遗传算法的初始化种群进行均匀设计,提高了遗传算法的优化效率.同时利用sigmoid函数改进了交叉概率和变异概率,使交叉率和变异率按照个体的适应度在平均适应度和最大适应度之间随sigmoid曲线进行非线性调整.在分析直线感应电机与旋转电机物理结构差异的基础上,得到考虑边端效应的直线感应电机的稳态性能,并给出直线感应电机力能指标的优化模型.通过对优化后的设计方案与原设计方案的比较发现:直线感应电机的力能指标显著提高,验证了方法的有效性.
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| 关 键 词： | 自适应遗传算法 直线感应电机 均匀设计 |
Optimization of linear induction machines based on a novel adaptive genetic algorithm |
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| Zhuang Yingchao Yu Haitao Xia Jun Hu Minqiang.Optimization of linear induction machines based on a novel adaptive genetic algorithm[J].Journal of Southeast University(English Edition),2009,25(2):203-207. |
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| Authors: | Zhuang Yingchao Yu Haitao Xia Jun Hu Minqiang |
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| Institution: | Zhuang Yingchao1 Yu Haitao1 Xia Jun2 Hu Minqiang1(1School of Electrical Engineering,Southeast University,Nanjing 210096,China)(2 Jiangsu Science , Technology Museum,Nanjing 210013,China) |
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| 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 fitnes... |
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| Keywords: | adaptive genetic algorithm linear induction machine uniform design |
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