{"title":"Tuning of Fractional Order PID controller using particle swarm optimization technique for DC motor speed control","authors":"R. Jain, M. Aware, A. Junghare","doi":"10.1109/ICPEICES.2016.7853070","DOIUrl":null,"url":null,"abstract":"Design of Fractional Order PID controller (FOPID) for speed regulation of DC motor is presented in this paper. In comparison with conventional PID, FOPID is more flexible and trustworthy to control higher order systems. The FOPID exhibits the Iso-damping property to enhance the robustness of closed loop response of the system against gain variations. According to parameters adjustment problems of FOPID controller, particle swarm optimization (PSO) algorithm is adopted to optimize FOPID controller parameters. Peak overshoot, rise time and settling time are considered as important factors to minimize using PSO technique. Simulation results give validation of the proposed work and provide effectiveness of FOPID controller in terms of robustness and control effect as compared to PID controller.","PeriodicalId":305942,"journal":{"name":"2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"45","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPEICES.2016.7853070","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 45
Abstract
Design of Fractional Order PID controller (FOPID) for speed regulation of DC motor is presented in this paper. In comparison with conventional PID, FOPID is more flexible and trustworthy to control higher order systems. The FOPID exhibits the Iso-damping property to enhance the robustness of closed loop response of the system against gain variations. According to parameters adjustment problems of FOPID controller, particle swarm optimization (PSO) algorithm is adopted to optimize FOPID controller parameters. Peak overshoot, rise time and settling time are considered as important factors to minimize using PSO technique. Simulation results give validation of the proposed work and provide effectiveness of FOPID controller in terms of robustness and control effect as compared to PID controller.