{"title":"A design methodology of constraint-based fuzzy logic controller","authors":"D. Chiang, R. Lai","doi":"10.1109/NAFIPS.2001.943728","DOIUrl":null,"url":null,"abstract":"Constraint-based fuzzy logic controllers (CFLCs) have been recognized as a unified framework of control system design. Arbitrary types of constraints are allowed in a CFLC to specify the desired states of a plant. The purpose of this paper is to present a design methodology of CFLCs, transforming the intention of a control system into a network of fuzzy constraints. The task of designing a CFLC could be viewed as a process of incremental constraint-based problem-solving, namely a fuzzy constraint refinement problem. Specifically, a schema could be derived for the configuration of a CFLC; after that, constraints can be gradually added (or removed) into the schema until the performance requirements are met. Based on this framework, we have successfully designed a CFLC for modeling a simplified rotary cement kiln that has both nonlinear and time varying characteristics of a plant.","PeriodicalId":227374,"journal":{"name":"Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569)","volume":"2016 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NAFIPS.2001.943728","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Constraint-based fuzzy logic controllers (CFLCs) have been recognized as a unified framework of control system design. Arbitrary types of constraints are allowed in a CFLC to specify the desired states of a plant. The purpose of this paper is to present a design methodology of CFLCs, transforming the intention of a control system into a network of fuzzy constraints. The task of designing a CFLC could be viewed as a process of incremental constraint-based problem-solving, namely a fuzzy constraint refinement problem. Specifically, a schema could be derived for the configuration of a CFLC; after that, constraints can be gradually added (or removed) into the schema until the performance requirements are met. Based on this framework, we have successfully designed a CFLC for modeling a simplified rotary cement kiln that has both nonlinear and time varying characteristics of a plant.
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