{"title":"基于遗传算法的三相感应电机多目标优化设计","authors":"Y. Chun, P. Han, Jaehoon Choi, D. Koo","doi":"10.1109/ICELMACH.2008.4800013","DOIUrl":null,"url":null,"abstract":"The characteristics of an induction motor vary with the number of parameters and the performance relationship between the parameters also is implicit. In this article, the multiobjective optimization technique based on the genetic algorithm and sizing equation is applied for the three phase induction motor. The electromagnetic losses and the locked torque are selected for the objectives. The validity of the design results will be also clarified by comparison between calculated results and measured ones.","PeriodicalId":416125,"journal":{"name":"2008 18th International Conference on Electrical Machines","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":"{\"title\":\"Multiobjective optimization of three-phase induction motor design based on genetic algorithm\",\"authors\":\"Y. Chun, P. Han, Jaehoon Choi, D. Koo\",\"doi\":\"10.1109/ICELMACH.2008.4800013\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The characteristics of an induction motor vary with the number of parameters and the performance relationship between the parameters also is implicit. In this article, the multiobjective optimization technique based on the genetic algorithm and sizing equation is applied for the three phase induction motor. The electromagnetic losses and the locked torque are selected for the objectives. The validity of the design results will be also clarified by comparison between calculated results and measured ones.\",\"PeriodicalId\":416125,\"journal\":{\"name\":\"2008 18th International Conference on Electrical Machines\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 18th International Conference on Electrical Machines\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICELMACH.2008.4800013\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 18th International Conference on Electrical Machines","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICELMACH.2008.4800013","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multiobjective optimization of three-phase induction motor design based on genetic algorithm
The characteristics of an induction motor vary with the number of parameters and the performance relationship between the parameters also is implicit. In this article, the multiobjective optimization technique based on the genetic algorithm and sizing equation is applied for the three phase induction motor. The electromagnetic losses and the locked torque are selected for the objectives. The validity of the design results will be also clarified by comparison between calculated results and measured ones.
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