{"title":"Fractional order system identification and controller design using PSO","authors":"Rohit Gupta, S. Gairola, Sanjeet Diwiedi","doi":"10.1109/CIPECH.2014.7019053","DOIUrl":null,"url":null,"abstract":"This paper presents a Particle Swarm Optimization (PSO) based method to identify the fractional order transfer function of an industrial heating furnace system using its experimental data. Also the PSO technique for design of PID controller is proposed for the same system with its frequency and time domain analysis. For tuning of the PID controller in this system, PSO technique has been investigated and the performance is analyzed using MATLAB. A fitness function is proposed which provides the most suitable controller design.","PeriodicalId":170027,"journal":{"name":"2014 Innovative Applications of Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Innovative Applications of Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIPECH.2014.7019053","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This paper presents a Particle Swarm Optimization (PSO) based method to identify the fractional order transfer function of an industrial heating furnace system using its experimental data. Also the PSO technique for design of PID controller is proposed for the same system with its frequency and time domain analysis. For tuning of the PID controller in this system, PSO technique has been investigated and the performance is analyzed using MATLAB. A fitness function is proposed which provides the most suitable controller design.