{"title":"Fuzzy-supervised PI for Flow-Control Process, Design and Experimental Validation","authors":"R. Shalaby, M. Ibrahim, T. Khalifa","doi":"10.1109/NILES.2019.8909327","DOIUrl":null,"url":null,"abstract":"This paper is dedicated to design a fuzzy-supervised PI controller. It is a is a two-level controller, the lower-level controller (LLC) containing the classical PI controller and the upper-level controller (ULC) is a supervisory fuzzy logic controller (FLC). In real time, the ULC modifies, automatically, the parameters of the LLC which, consequently, drive the process to the desired status. The performance of the proposed controller is, primarily, examined by simulating it in MATLAB. Then, it is experimentally validated and compared to the classical PI-control through two test phases, the reference-tracking phase and against external disturbances. Based on the results of simulation and experimental studies, the robustness and the reliable performance of the Fuzzy-supervised PI controller is Proved.","PeriodicalId":330822,"journal":{"name":"2019 Novel Intelligent and Leading Emerging Sciences Conference (NILES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Novel Intelligent and Leading Emerging Sciences Conference (NILES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NILES.2019.8909327","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper is dedicated to design a fuzzy-supervised PI controller. It is a is a two-level controller, the lower-level controller (LLC) containing the classical PI controller and the upper-level controller (ULC) is a supervisory fuzzy logic controller (FLC). In real time, the ULC modifies, automatically, the parameters of the LLC which, consequently, drive the process to the desired status. The performance of the proposed controller is, primarily, examined by simulating it in MATLAB. Then, it is experimentally validated and compared to the classical PI-control through two test phases, the reference-tracking phase and against external disturbances. Based on the results of simulation and experimental studies, the robustness and the reliable performance of the Fuzzy-supervised PI controller is Proved.