Kais Jammousi, M. Bouzguenda, Youssef Dhieb, M. Ghariani, Mohamed Yaich
{"title":"Gain optimization of sliding mode speed control for DC motor","authors":"Kais Jammousi, M. Bouzguenda, Youssef Dhieb, M. Ghariani, Mohamed Yaich","doi":"10.1109/ENERGYCon48941.2020.9236508","DOIUrl":null,"url":null,"abstract":"the main objective of this paper is to optimize the parameters of sliding mode controller for DC motor. Ant Colony optimization (ACO) algorithms is used to obtain optimal parameters of Sliding Mode Controller (SMC), which is highly robust to the parameters variations. A model of DC motor is developed and simulated using MATLAB/SIMULINK by introducing external uncertainties and disturbances. The proposed speed control design uses gains generated by the Ant Colony optimization algorithm.","PeriodicalId":156687,"journal":{"name":"2020 6th IEEE International Energy Conference (ENERGYCon)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 6th IEEE International Energy Conference (ENERGYCon)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ENERGYCon48941.2020.9236508","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
the main objective of this paper is to optimize the parameters of sliding mode controller for DC motor. Ant Colony optimization (ACO) algorithms is used to obtain optimal parameters of Sliding Mode Controller (SMC), which is highly robust to the parameters variations. A model of DC motor is developed and simulated using MATLAB/SIMULINK by introducing external uncertainties and disturbances. The proposed speed control design uses gains generated by the Ant Colony optimization algorithm.