{"title":"感应电动机的自适应2型模糊控制","authors":"K. Chafaa, Y. Laamari, S. Barkati, S. Chaouch","doi":"10.1109/SSD.2008.4632866","DOIUrl":null,"url":null,"abstract":"This paper proposes a new indirect adaptive fuzzy controller based on interval type-2 fuzzy logic systems for indirect vector controlled induction motor drive. Type-2 fuzzy controller compared with type-1 fuzzy controller, has the advantage that it can take into account the linguistic uncertainties present in the rules of the estimated models. The proposed control scheme consists of a combination of two controllers: a type-2 fuzzy controller and a supervisory controller. The supervisory controller is used when the system loop tend to be unstable. The tuning parameters for the type-2 fuzzy controller will change according to some learning algorithms based on Lyapunov theorem.","PeriodicalId":267264,"journal":{"name":"2008 5th International Multi-Conference on Systems, Signals and Devices","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Adaptive type-2 fuzzy control for induction motor\",\"authors\":\"K. Chafaa, Y. Laamari, S. Barkati, S. Chaouch\",\"doi\":\"10.1109/SSD.2008.4632866\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a new indirect adaptive fuzzy controller based on interval type-2 fuzzy logic systems for indirect vector controlled induction motor drive. Type-2 fuzzy controller compared with type-1 fuzzy controller, has the advantage that it can take into account the linguistic uncertainties present in the rules of the estimated models. The proposed control scheme consists of a combination of two controllers: a type-2 fuzzy controller and a supervisory controller. The supervisory controller is used when the system loop tend to be unstable. The tuning parameters for the type-2 fuzzy controller will change according to some learning algorithms based on Lyapunov theorem.\",\"PeriodicalId\":267264,\"journal\":{\"name\":\"2008 5th International Multi-Conference on Systems, Signals and Devices\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-07-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 5th International Multi-Conference on Systems, Signals and Devices\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SSD.2008.4632866\",\"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 5th International Multi-Conference on Systems, Signals and Devices","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSD.2008.4632866","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper proposes a new indirect adaptive fuzzy controller based on interval type-2 fuzzy logic systems for indirect vector controlled induction motor drive. Type-2 fuzzy controller compared with type-1 fuzzy controller, has the advantage that it can take into account the linguistic uncertainties present in the rules of the estimated models. The proposed control scheme consists of a combination of two controllers: a type-2 fuzzy controller and a supervisory controller. The supervisory controller is used when the system loop tend to be unstable. The tuning parameters for the type-2 fuzzy controller will change according to some learning algorithms based on Lyapunov theorem.
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