{"title":"Dynamic Set-Point Weighted Fuzzy PID Controller","authors":"P. Mitra, C. Dey, R. Mudi","doi":"10.1109/ISCBI.2013.29","DOIUrl":null,"url":null,"abstract":"A fuzzy PID controller with dynamic set-point weighting technique is proposed. Fuzzy PID controller is realized by combining the control actions produced by a fuzzy PI and fuzzy PD controllers with suitable output scaling factors. Input to the fuzzy controllers i.e., error and change of error are calculated from the dynamically weighted set-point for each sampling instant. The dynamic weighting factor is calculated online from a simple relation consisting of normalized change of error and normalized process dead time. The proposed dynamic set-point weighted fuzzy PID controller provides a significant amount of performance enhancement for higher order processes with dead time, verified through simulation as well as real time implementation. Unlike to the conventional fixed set-point weighting which offers only improved set-point response, our proposed dynamic set-point weighting is capable to provide simultaneous improvement during both the set-point tracking as well as load variation with considerable robustness in close-loop behavior.","PeriodicalId":311471,"journal":{"name":"2013 International Symposium on Computational and Business Intelligence","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Symposium on Computational and Business Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCBI.2013.29","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 PID controller with dynamic set-point weighting technique is proposed. Fuzzy PID controller is realized by combining the control actions produced by a fuzzy PI and fuzzy PD controllers with suitable output scaling factors. Input to the fuzzy controllers i.e., error and change of error are calculated from the dynamically weighted set-point for each sampling instant. The dynamic weighting factor is calculated online from a simple relation consisting of normalized change of error and normalized process dead time. The proposed dynamic set-point weighted fuzzy PID controller provides a significant amount of performance enhancement for higher order processes with dead time, verified through simulation as well as real time implementation. Unlike to the conventional fixed set-point weighting which offers only improved set-point response, our proposed dynamic set-point weighting is capable to provide simultaneous improvement during both the set-point tracking as well as load variation with considerable robustness in close-loop behavior.