{"title":"工业应用模糊逻辑控制器的设计与实现","authors":"L. Mastacan, Catalin Dosoftei","doi":"10.1109/ICEPE.2014.6969873","DOIUrl":null,"url":null,"abstract":"Fuzzy logic controllers (FLCs) utilize fuzzy logic to convert the linguistic control strategy based on expert knowledge into an automatic control strategy. The dynamic of nonlinear processes can be easy controlled using FLCs. The paper presents a method to design the structure of a fuzzy logic controller (FLC) based on decision tables. To achieve the proposed FLC the mathematical models of the nonlinear processes are not necessary. All the FLC parameters can be on-line tuned. The performances of the proposed FLC are validated by experimental results on controlled processes with fast and slow dynamics.","PeriodicalId":271843,"journal":{"name":"2014 International Conference and Exposition on Electrical and Power Engineering (EPE)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Fuzzy logic controller design and implementation for industrial applications\",\"authors\":\"L. Mastacan, Catalin Dosoftei\",\"doi\":\"10.1109/ICEPE.2014.6969873\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Fuzzy logic controllers (FLCs) utilize fuzzy logic to convert the linguistic control strategy based on expert knowledge into an automatic control strategy. The dynamic of nonlinear processes can be easy controlled using FLCs. The paper presents a method to design the structure of a fuzzy logic controller (FLC) based on decision tables. To achieve the proposed FLC the mathematical models of the nonlinear processes are not necessary. All the FLC parameters can be on-line tuned. The performances of the proposed FLC are validated by experimental results on controlled processes with fast and slow dynamics.\",\"PeriodicalId\":271843,\"journal\":{\"name\":\"2014 International Conference and Exposition on Electrical and Power Engineering (EPE)\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Conference and Exposition on Electrical and Power Engineering (EPE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEPE.2014.6969873\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference and Exposition on Electrical and Power Engineering (EPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEPE.2014.6969873","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fuzzy logic controller design and implementation for industrial applications
Fuzzy logic controllers (FLCs) utilize fuzzy logic to convert the linguistic control strategy based on expert knowledge into an automatic control strategy. The dynamic of nonlinear processes can be easy controlled using FLCs. The paper presents a method to design the structure of a fuzzy logic controller (FLC) based on decision tables. To achieve the proposed FLC the mathematical models of the nonlinear processes are not necessary. All the FLC parameters can be on-line tuned. The performances of the proposed FLC are validated by experimental results on controlled processes with fast and slow dynamics.