{"title":"基于遗传算法的绕线转子感应电动机设计优化","authors":"M. Etemadi, Reza Haghighian","doi":"10.1109/KBEI.2019.8735061","DOIUrl":null,"url":null,"abstract":"Wound rotor induction motors have been underestimated for specific applications and high power. Therefore, in this paper, the optimization of the design of a wound rotor induction motor using a genetic algorithm with objective function including power losses and motor weight is proposed. Initially, after Magnetic Equivalent Circuit (MEC) modeling, different parameters are selected with sensitivity analysis, and then optimization process is performed on a sample of 4.3 MW, 6 kV, 1000 rpm. Finally, the optimized parameters by the finite element method are accredited thermally, magnetically and electrically.","PeriodicalId":339990,"journal":{"name":"2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Design Optimization of Wound Rotor Induction Motor Using Genetic Algorithm\",\"authors\":\"M. Etemadi, Reza Haghighian\",\"doi\":\"10.1109/KBEI.2019.8735061\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Wound rotor induction motors have been underestimated for specific applications and high power. Therefore, in this paper, the optimization of the design of a wound rotor induction motor using a genetic algorithm with objective function including power losses and motor weight is proposed. Initially, after Magnetic Equivalent Circuit (MEC) modeling, different parameters are selected with sensitivity analysis, and then optimization process is performed on a sample of 4.3 MW, 6 kV, 1000 rpm. Finally, the optimized parameters by the finite element method are accredited thermally, magnetically and electrically.\",\"PeriodicalId\":339990,\"journal\":{\"name\":\"2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/KBEI.2019.8735061\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/KBEI.2019.8735061","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design Optimization of Wound Rotor Induction Motor Using Genetic Algorithm
Wound rotor induction motors have been underestimated for specific applications and high power. Therefore, in this paper, the optimization of the design of a wound rotor induction motor using a genetic algorithm with objective function including power losses and motor weight is proposed. Initially, after Magnetic Equivalent Circuit (MEC) modeling, different parameters are selected with sensitivity analysis, and then optimization process is performed on a sample of 4.3 MW, 6 kV, 1000 rpm. Finally, the optimized parameters by the finite element method are accredited thermally, magnetically and electrically.
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