{"title":"ga -模糊控制器设计在自动发电控制中的应用","authors":"Craig D. Boesack, T. Marwala, F. Nelwamondo","doi":"10.1109/IWACI.2010.5585127","DOIUrl":null,"url":null,"abstract":"The design of fuzzy logic controllers involves the rationalization of the Fuzzy Inferencing Rules and the appropriate selection of the input and output membership functions. This typically have been achieved by the application of expert knowledge of plant operation and by the appropriate selection of weighting gains. This paper presents the fuzzy logic controller with certain parameters which can be optimized to suite the specific application under control. Traditionally, this has been performed manually by design. However, contained within this study, Genetic Algorithms are applied as a plausible fuzzy logic controller optimizer (Genetic - Fuzzy Controller), and is applied to the Automatic Generation Control problem of large interconnected power systems.","PeriodicalId":189187,"journal":{"name":"Third International Workshop on Advanced Computational Intelligence","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Application of GA-Fuzzy Controller design to Automatic Generation Control\",\"authors\":\"Craig D. Boesack, T. Marwala, F. Nelwamondo\",\"doi\":\"10.1109/IWACI.2010.5585127\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The design of fuzzy logic controllers involves the rationalization of the Fuzzy Inferencing Rules and the appropriate selection of the input and output membership functions. This typically have been achieved by the application of expert knowledge of plant operation and by the appropriate selection of weighting gains. This paper presents the fuzzy logic controller with certain parameters which can be optimized to suite the specific application under control. Traditionally, this has been performed manually by design. However, contained within this study, Genetic Algorithms are applied as a plausible fuzzy logic controller optimizer (Genetic - Fuzzy Controller), and is applied to the Automatic Generation Control problem of large interconnected power systems.\",\"PeriodicalId\":189187,\"journal\":{\"name\":\"Third International Workshop on Advanced Computational Intelligence\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-09-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Third International Workshop on Advanced Computational Intelligence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWACI.2010.5585127\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Third International Workshop on Advanced Computational Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWACI.2010.5585127","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of GA-Fuzzy Controller design to Automatic Generation Control
The design of fuzzy logic controllers involves the rationalization of the Fuzzy Inferencing Rules and the appropriate selection of the input and output membership functions. This typically have been achieved by the application of expert knowledge of plant operation and by the appropriate selection of weighting gains. This paper presents the fuzzy logic controller with certain parameters which can be optimized to suite the specific application under control. Traditionally, this has been performed manually by design. However, contained within this study, Genetic Algorithms are applied as a plausible fuzzy logic controller optimizer (Genetic - Fuzzy Controller), and is applied to the Automatic Generation Control problem of large interconnected power systems.