{"title":"基于自适应进化算法的高压直流模糊控制器设计","authors":"Jae-Gon Choi, Gi-Hyun Hwang, H. Kang, Juneho Park","doi":"10.1109/ISIE.2001.931986","DOIUrl":null,"url":null,"abstract":"This paper presents an optimal design method for a fuzzy logic controller (FLC) of HVDC using an adaptive evolutionary algorithm (AEA). We propose an AEA, which uses a genetic algorithm (GA) and an evolution strategy (ES) in an adaptive manner to take merits of the two different evolutionary algorithms. We use AEA to tune fuzzy membership functions and scaling constants. Simulation result shows that disturbances are well damped and the dynamic performances of FLC have better responses than those of PD controller when the AC system load changes suddenly.","PeriodicalId":124749,"journal":{"name":"ISIE 2001. 2001 IEEE International Symposium on Industrial Electronics Proceedings (Cat. No.01TH8570)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Design of fuzzy logic controller for HVDC using an adaptive evolutionary algorithm\",\"authors\":\"Jae-Gon Choi, Gi-Hyun Hwang, H. Kang, Juneho Park\",\"doi\":\"10.1109/ISIE.2001.931986\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an optimal design method for a fuzzy logic controller (FLC) of HVDC using an adaptive evolutionary algorithm (AEA). We propose an AEA, which uses a genetic algorithm (GA) and an evolution strategy (ES) in an adaptive manner to take merits of the two different evolutionary algorithms. We use AEA to tune fuzzy membership functions and scaling constants. Simulation result shows that disturbances are well damped and the dynamic performances of FLC have better responses than those of PD controller when the AC system load changes suddenly.\",\"PeriodicalId\":124749,\"journal\":{\"name\":\"ISIE 2001. 2001 IEEE International Symposium on Industrial Electronics Proceedings (Cat. No.01TH8570)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-06-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ISIE 2001. 2001 IEEE International Symposium on Industrial Electronics Proceedings (Cat. No.01TH8570)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISIE.2001.931986\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ISIE 2001. 2001 IEEE International Symposium on Industrial Electronics Proceedings (Cat. No.01TH8570)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIE.2001.931986","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design of fuzzy logic controller for HVDC using an adaptive evolutionary algorithm
This paper presents an optimal design method for a fuzzy logic controller (FLC) of HVDC using an adaptive evolutionary algorithm (AEA). We propose an AEA, which uses a genetic algorithm (GA) and an evolution strategy (ES) in an adaptive manner to take merits of the two different evolutionary algorithms. We use AEA to tune fuzzy membership functions and scaling constants. Simulation result shows that disturbances are well damped and the dynamic performances of FLC have better responses than those of PD controller when the AC system load changes suddenly.