{"title":"异步起动同步电动机的遗传算法优化","authors":"F. Ismagilov, V. Vavilov, R. Urazbakhtin","doi":"10.15866/IREASE.V11I2.13365","DOIUrl":null,"url":null,"abstract":"In this article, the authors offer a new optimization algorithm for the LSPMSM based on genetic algorithms, as well as the methods for their implementation for the design of electrical machines. With this algorithm, 7 different topologies of the LSPMSM with fixed frequency, network frequency and supply voltage were simultaneously optimized. As a result, about 6000 different combinations of geometric sizes and various topologies of the LSPMSM were considered. After this, two optimal topologies with optimal geometric dimensions for input conditions were identified. The topology data were calculated using FEMM methods and a model of one of them was created.","PeriodicalId":14462,"journal":{"name":"International Review of Aerospace Engineering","volume":"108 1","pages":"66-75"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Optimization of Synchronous Electric Motors with Asynchronous Start by Genetic Algorithms\",\"authors\":\"F. Ismagilov, V. Vavilov, R. Urazbakhtin\",\"doi\":\"10.15866/IREASE.V11I2.13365\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this article, the authors offer a new optimization algorithm for the LSPMSM based on genetic algorithms, as well as the methods for their implementation for the design of electrical machines. With this algorithm, 7 different topologies of the LSPMSM with fixed frequency, network frequency and supply voltage were simultaneously optimized. As a result, about 6000 different combinations of geometric sizes and various topologies of the LSPMSM were considered. After this, two optimal topologies with optimal geometric dimensions for input conditions were identified. The topology data were calculated using FEMM methods and a model of one of them was created.\",\"PeriodicalId\":14462,\"journal\":{\"name\":\"International Review of Aerospace Engineering\",\"volume\":\"108 1\",\"pages\":\"66-75\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-04-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Review of Aerospace Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.15866/IREASE.V11I2.13365\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Review of Aerospace Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15866/IREASE.V11I2.13365","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimization of Synchronous Electric Motors with Asynchronous Start by Genetic Algorithms
In this article, the authors offer a new optimization algorithm for the LSPMSM based on genetic algorithms, as well as the methods for their implementation for the design of electrical machines. With this algorithm, 7 different topologies of the LSPMSM with fixed frequency, network frequency and supply voltage were simultaneously optimized. As a result, about 6000 different combinations of geometric sizes and various topologies of the LSPMSM were considered. After this, two optimal topologies with optimal geometric dimensions for input conditions were identified. The topology data were calculated using FEMM methods and a model of one of them was created.
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