{"title":"序贯学习函数应用于VSC模糊控制器的设计与整定","authors":"Iván Riaño","doi":"10.1109/ISGT-LA.2015.7381137","DOIUrl":null,"url":null,"abstract":"This paper present the development of a Sequential Learning Function for Differential Evolution algorithms to improve the tuning process of a fuzzy basis function expansions (FBFE) for the control of reactive power and the DC Voltage of the rectifier station of a VSC. Results are compared with a static fitness evaluation and classical control techniques.","PeriodicalId":345318,"journal":{"name":"2015 IEEE PES Innovative Smart Grid Technologies Latin America (ISGT LATAM)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Sequential Learning Function applied to the design and tuning of a Fuzzy Controller for VSC\",\"authors\":\"Iván Riaño\",\"doi\":\"10.1109/ISGT-LA.2015.7381137\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper present the development of a Sequential Learning Function for Differential Evolution algorithms to improve the tuning process of a fuzzy basis function expansions (FBFE) for the control of reactive power and the DC Voltage of the rectifier station of a VSC. Results are compared with a static fitness evaluation and classical control techniques.\",\"PeriodicalId\":345318,\"journal\":{\"name\":\"2015 IEEE PES Innovative Smart Grid Technologies Latin America (ISGT LATAM)\",\"volume\":\"100 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE PES Innovative Smart Grid Technologies Latin America (ISGT LATAM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISGT-LA.2015.7381137\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE PES Innovative Smart Grid Technologies Latin America (ISGT LATAM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISGT-LA.2015.7381137","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Sequential Learning Function applied to the design and tuning of a Fuzzy Controller for VSC
This paper present the development of a Sequential Learning Function for Differential Evolution algorithms to improve the tuning process of a fuzzy basis function expansions (FBFE) for the control of reactive power and the DC Voltage of the rectifier station of a VSC. Results are compared with a static fitness evaluation and classical control techniques.