S. A. Gunawan, Yohannes Chrysostomos Hendro Yuwono, Gilang Nugraha Putu Pratama, A. Cahyadi, Bondhan Winduratna
{"title":"Optimal Fractional-Order PID for DC Motor: Comparison Study","authors":"S. A. Gunawan, Yohannes Chrysostomos Hendro Yuwono, Gilang Nugraha Putu Pratama, A. Cahyadi, Bondhan Winduratna","doi":"10.1109/ICSTC.2018.8528704","DOIUrl":null,"url":null,"abstract":"This paper presents a comparative study of optimization methods for fractional-order Proportional-Integral-Derivative (FOPID) controller. Those methods are Nelder-Mead, Particle Swarm Optimization (PSO), and genetic algorithm. The FOPID controller needs to regulate the step response of the DC motor at the desired state. Numerical simulation and analysis are presented to verify the best method. The PSO gives the best result in term of settling time, robustness, and less overshoot.","PeriodicalId":196768,"journal":{"name":"2018 4th International Conference on Science and Technology (ICST)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 4th International Conference on Science and Technology (ICST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSTC.2018.8528704","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
This paper presents a comparative study of optimization methods for fractional-order Proportional-Integral-Derivative (FOPID) controller. Those methods are Nelder-Mead, Particle Swarm Optimization (PSO), and genetic algorithm. The FOPID controller needs to regulate the step response of the DC motor at the desired state. Numerical simulation and analysis are presented to verify the best method. The PSO gives the best result in term of settling time, robustness, and less overshoot.