{"title":"Fuzzy Model Based Control of Steam Generation in Drum-Boiler Power Plant","authors":"C.M. Cheng, N.W. Rees","doi":"10.1016/S1474-6670(17)46399-3","DOIUrl":null,"url":null,"abstract":"<div><p>A fuzzy model based control methodology is proposed for controlling the steam generation in a drum-boiler power plant. The control design is based on a fuzzy dynamic model which is a fuzzy aggregation of a set of linear models defined at various operating load conditions. The hierarchical control structure consists of three levels - compensator, scheduling and planning layers. The compensator layer includes a set of state feedback and feedforward compensators, and state estimators. The scheduling and planning layers are incorporated with the approximate reasoning feature of the fuzzy dynamic model to form a fuzzy coordinator.</p></div>","PeriodicalId":13260,"journal":{"name":"IFAC Proceedings Volumes","volume":"30 17","pages":"Pages 143-149"},"PeriodicalIF":0.0000,"publicationDate":"1997-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S1474-6670(17)46399-3","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IFAC Proceedings Volumes","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1474667017463993","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
A fuzzy model based control methodology is proposed for controlling the steam generation in a drum-boiler power plant. The control design is based on a fuzzy dynamic model which is a fuzzy aggregation of a set of linear models defined at various operating load conditions. The hierarchical control structure consists of three levels - compensator, scheduling and planning layers. The compensator layer includes a set of state feedback and feedforward compensators, and state estimators. The scheduling and planning layers are incorporated with the approximate reasoning feature of the fuzzy dynamic model to form a fuzzy coordinator.
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