{"title":"基于人工蜂群的六相感应电机设计优化","authors":"Pratyush Das, S. N. Mahato","doi":"10.1109/CIEC.2016.7513822","DOIUrl":null,"url":null,"abstract":"Artificial Bee Colony Algorithm (ABC) has been used to optimize the design of a six-phase induction motor (SPIM). Multi-objective function has been considered for optimization. Comparison of the optimum design using Artificial Bee Colony Algorithm with that of traditional design and Genetic Algorithm (GA) based optimum design has been presented, which shows that improved design can be achieved by Artificial Bee Colony technique of optimization. Comparison of the results obtained has been done to find the fittest method of optimization for the said purpose. Performances of the induction motor have been evaluated for each design effectively.","PeriodicalId":443343,"journal":{"name":"2016 2nd International Conference on Control, Instrumentation, Energy & Communication (CIEC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Artificial Bee Colony based design optimization of a six-phase induction motor\",\"authors\":\"Pratyush Das, S. N. Mahato\",\"doi\":\"10.1109/CIEC.2016.7513822\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Artificial Bee Colony Algorithm (ABC) has been used to optimize the design of a six-phase induction motor (SPIM). Multi-objective function has been considered for optimization. Comparison of the optimum design using Artificial Bee Colony Algorithm with that of traditional design and Genetic Algorithm (GA) based optimum design has been presented, which shows that improved design can be achieved by Artificial Bee Colony technique of optimization. Comparison of the results obtained has been done to find the fittest method of optimization for the said purpose. Performances of the induction motor have been evaluated for each design effectively.\",\"PeriodicalId\":443343,\"journal\":{\"name\":\"2016 2nd International Conference on Control, Instrumentation, Energy & Communication (CIEC)\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 2nd International Conference on Control, Instrumentation, Energy & Communication (CIEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIEC.2016.7513822\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 2nd International Conference on Control, Instrumentation, Energy & Communication (CIEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIEC.2016.7513822","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Artificial Bee Colony based design optimization of a six-phase induction motor
Artificial Bee Colony Algorithm (ABC) has been used to optimize the design of a six-phase induction motor (SPIM). Multi-objective function has been considered for optimization. Comparison of the optimum design using Artificial Bee Colony Algorithm with that of traditional design and Genetic Algorithm (GA) based optimum design has been presented, which shows that improved design can be achieved by Artificial Bee Colony technique of optimization. Comparison of the results obtained has been done to find the fittest method of optimization for the said purpose. Performances of the induction motor have been evaluated for each design effectively.
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