{"title":"Fuzzy PI control algorithm for the multiple effect evaporation station","authors":"A. Zdravković, S. Turajlić, N. Marsenic","doi":"10.1109/CCA.1994.381388","DOIUrl":null,"url":null,"abstract":"This paper presents a fuzzy PI control algorithm for the multiple effect evaporation station. A specially developed multiple effect evaporation station simulation model was used to verify the performance of the proposed control algorithm. The fuzzy PI control algorithm performance is compared to the classical PI algorithm one, using the square error sum criteria minimization. The classical heating vapor flow control algorithm is discussed, followed by the proposed control scheme based on the existing sensor information and human operator experience. The proposed control scheme simulation results, for both the classical and fuzzy PI algorithms, are discussed. The suggested control scheme is verified at the sugar refinery AIK \"Senta\" plant.<<ETX>>","PeriodicalId":173370,"journal":{"name":"1994 Proceedings of IEEE International Conference on Control and Applications","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"1994 Proceedings of IEEE International Conference on Control and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCA.1994.381388","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
This paper presents a fuzzy PI control algorithm for the multiple effect evaporation station. A specially developed multiple effect evaporation station simulation model was used to verify the performance of the proposed control algorithm. The fuzzy PI control algorithm performance is compared to the classical PI algorithm one, using the square error sum criteria minimization. The classical heating vapor flow control algorithm is discussed, followed by the proposed control scheme based on the existing sensor information and human operator experience. The proposed control scheme simulation results, for both the classical and fuzzy PI algorithms, are discussed. The suggested control scheme is verified at the sugar refinery AIK "Senta" plant.<>