{"title":"基于粒子群优化的生物反应器分数阶pi - λ μ a控制器设计","authors":"K. Bettou, A. Charef","doi":"10.1109/ICOSC.2017.7958652","DOIUrl":null,"url":null,"abstract":"Application of fractional order proportional-integral-derivative-acceleration PIλDμA controller to a bioreactor is presented and studied in this paper. The fractional order PIλDμA controller is an integer order PIDA controller whose integral and derivative orders are fractional numbers rather than integers. Design stage of the fractional order PIλDμA controller consists of determining six parameters through the optimization of the Integral Squared Error (ISE) performance criteria using the Particle Swarm Optimization (PSO) algorithm. Comparisons are made with integer and fractional order controllers. Simulation results show that the proposed fractional order PIλDμA controller can enhance the performance of the bioreactor control.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Optimal fractional order PIλDμA controller design for bioreactor control using Particle Swarm Optimization\",\"authors\":\"K. Bettou, A. Charef\",\"doi\":\"10.1109/ICOSC.2017.7958652\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Application of fractional order proportional-integral-derivative-acceleration PIλDμA controller to a bioreactor is presented and studied in this paper. The fractional order PIλDμA controller is an integer order PIDA controller whose integral and derivative orders are fractional numbers rather than integers. Design stage of the fractional order PIλDμA controller consists of determining six parameters through the optimization of the Integral Squared Error (ISE) performance criteria using the Particle Swarm Optimization (PSO) algorithm. Comparisons are made with integer and fractional order controllers. Simulation results show that the proposed fractional order PIλDμA controller can enhance the performance of the bioreactor control.\",\"PeriodicalId\":113395,\"journal\":{\"name\":\"2017 6th International Conference on Systems and Control (ICSC)\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-05-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 6th International Conference on Systems and Control (ICSC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICOSC.2017.7958652\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 6th International Conference on Systems and Control (ICSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOSC.2017.7958652","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal fractional order PIλDμA controller design for bioreactor control using Particle Swarm Optimization
Application of fractional order proportional-integral-derivative-acceleration PIλDμA controller to a bioreactor is presented and studied in this paper. The fractional order PIλDμA controller is an integer order PIDA controller whose integral and derivative orders are fractional numbers rather than integers. Design stage of the fractional order PIλDμA controller consists of determining six parameters through the optimization of the Integral Squared Error (ISE) performance criteria using the Particle Swarm Optimization (PSO) algorithm. Comparisons are made with integer and fractional order controllers. Simulation results show that the proposed fractional order PIλDμA controller can enhance the performance of the bioreactor control.