{"title":"基于模糊逻辑控制的海水淡化太阳能集热器系统研究","authors":"Juyuan Jiang, Hao Zhou","doi":"10.1109/IWACI.2010.5585227","DOIUrl":null,"url":null,"abstract":"This paper proposes a kind of fuzzy logic control scheme according to the time-varying, lagging and nonlinear characteristics of temperature control and the proplem of more complicated control system. It includes the selection of control variables, the definitions of fuzzy sets, the division of domain levels, the choice of membership functions and setting the fuzzy logic control rules. MATLAB was used for the simulation analyse of the system and the results validated that the the fuzzy logic control to the system is effective and reasonable.","PeriodicalId":189187,"journal":{"name":"Third International Workshop on Advanced Computational Intelligence","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A study of solar energy collector system based on fuzzy logic control for seawater desalination\",\"authors\":\"Juyuan Jiang, Hao Zhou\",\"doi\":\"10.1109/IWACI.2010.5585227\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a kind of fuzzy logic control scheme according to the time-varying, lagging and nonlinear characteristics of temperature control and the proplem of more complicated control system. It includes the selection of control variables, the definitions of fuzzy sets, the division of domain levels, the choice of membership functions and setting the fuzzy logic control rules. MATLAB was used for the simulation analyse of the system and the results validated that the the fuzzy logic control to the system is effective and reasonable.\",\"PeriodicalId\":189187,\"journal\":{\"name\":\"Third International Workshop on Advanced Computational Intelligence\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-09-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Third International Workshop on Advanced Computational Intelligence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWACI.2010.5585227\",\"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.2010.5585227","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A study of solar energy collector system based on fuzzy logic control for seawater desalination
This paper proposes a kind of fuzzy logic control scheme according to the time-varying, lagging and nonlinear characteristics of temperature control and the proplem of more complicated control system. It includes the selection of control variables, the definitions of fuzzy sets, the division of domain levels, the choice of membership functions and setting the fuzzy logic control rules. MATLAB was used for the simulation analyse of the system and the results validated that the the fuzzy logic control to the system is effective and reasonable.
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