{"title":"Efficient DC drive system by using adaptive control","authors":"M. Gaiceanu, R. Șolea, B. Codres, Cristinel Eni","doi":"10.1109/OPTIM.2014.6850961","DOIUrl":null,"url":null,"abstract":"In order to obtain a robust optimal control for a DC drive system a different solution from the existing technical literature is proposed in this paper. By using the linear quadratic control the optimal speed of the DC dive is obtained. This serves as a reference to the adaptive DC drive system. The model reference adaptive control (MRAC) ensures the robustness to parameters and load variations, to unmodelled uncertainties and high dynamic performances. Moreover, the MRAC provides on-line the controller parameters. The problem statement of the optimal control, model reference adaptive control mechanism and the validation of the new proposed control by numerical simulations are presented in this paper. The transient regimes (starting, reversing or braking) are dominant in electric drive systems, therefore the energetic optimization of the DC motor is proposed.","PeriodicalId":298237,"journal":{"name":"2014 International Conference on Optimization of Electrical and Electronic Equipment (OPTIM)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Optimization of Electrical and Electronic Equipment (OPTIM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/OPTIM.2014.6850961","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
In order to obtain a robust optimal control for a DC drive system a different solution from the existing technical literature is proposed in this paper. By using the linear quadratic control the optimal speed of the DC dive is obtained. This serves as a reference to the adaptive DC drive system. The model reference adaptive control (MRAC) ensures the robustness to parameters and load variations, to unmodelled uncertainties and high dynamic performances. Moreover, the MRAC provides on-line the controller parameters. The problem statement of the optimal control, model reference adaptive control mechanism and the validation of the new proposed control by numerical simulations are presented in this paper. The transient regimes (starting, reversing or braking) are dominant in electric drive systems, therefore the energetic optimization of the DC motor is proposed.