{"title":"基于粒子群算法的分数阶系统辨识与控制器设计","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":"{\"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}","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}
Fractional order system identification and controller design using PSO
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.