{"title":"基于萤火虫算法和遗传算法的永磁同步电机PI控制器优化设计","authors":"S. Bazi, R. Benzid, M. N. Said","doi":"10.1109/ICOSC.2017.7958699","DOIUrl":null,"url":null,"abstract":"In this paper, both Firefly Algorithm (FA) and Genetic Algorithm (GA) are used to tune the PI controller parameters in PMSM servo system. Consequently, these algorithms are involved to find the optimized proportional-integral (PI) gains by minimizing the time domain cost function. Comparing (FA) and (GA) based controllers, it can be remarked that the first one is better than the last one which allows us to conclude that (FA) is more suitable for parameters optimization of a (PI) controller.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"144 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Optimum PI controller design in PMSM using Firefly Algorithm and Genetic Algorithm\",\"authors\":\"S. Bazi, R. Benzid, M. N. Said\",\"doi\":\"10.1109/ICOSC.2017.7958699\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, both Firefly Algorithm (FA) and Genetic Algorithm (GA) are used to tune the PI controller parameters in PMSM servo system. Consequently, these algorithms are involved to find the optimized proportional-integral (PI) gains by minimizing the time domain cost function. Comparing (FA) and (GA) based controllers, it can be remarked that the first one is better than the last one which allows us to conclude that (FA) is more suitable for parameters optimization of a (PI) controller.\",\"PeriodicalId\":113395,\"journal\":{\"name\":\"2017 6th International Conference on Systems and Control (ICSC)\",\"volume\":\"144 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 6th International Conference on Systems and Control (ICSC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICOSC.2017.7958699\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 6th International Conference on Systems and Control (ICSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOSC.2017.7958699","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimum PI controller design in PMSM using Firefly Algorithm and Genetic Algorithm
In this paper, both Firefly Algorithm (FA) and Genetic Algorithm (GA) are used to tune the PI controller parameters in PMSM servo system. Consequently, these algorithms are involved to find the optimized proportional-integral (PI) gains by minimizing the time domain cost function. Comparing (FA) and (GA) based controllers, it can be remarked that the first one is better than the last one which allows us to conclude that (FA) is more suitable for parameters optimization of a (PI) controller.
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