Douglas F. de Carvalho, C. A. Ganzaroli, Rafael N. H. M. Dias, Luis A. Couto, W. Calixto
{"title":"Optimization process applied to tuning of dynamic matrix control: Study case with DC motor","authors":"Douglas F. de Carvalho, C. A. Ganzaroli, Rafael N. H. M. Dias, Luis A. Couto, W. Calixto","doi":"10.1109/EEEIC.2016.7555711","DOIUrl":null,"url":null,"abstract":"This paper presents study about Dynamic Matrix Control (DMC) controller applied to speed control of DC motor. DMC controller parameters, prediction horizon, control horizon and damping rate of reference, are obtained through optimization methods employing heuristic and deterministic strategies. The use of advanced control technique combined with using of optimization methods aims to achieve highly efficient control, reducing the transient state period and variations in steady state. This methods were applied on a simulation model in order to verify which one provides better control results.","PeriodicalId":246856,"journal":{"name":"2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EEEIC.2016.7555711","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
This paper presents study about Dynamic Matrix Control (DMC) controller applied to speed control of DC motor. DMC controller parameters, prediction horizon, control horizon and damping rate of reference, are obtained through optimization methods employing heuristic and deterministic strategies. The use of advanced control technique combined with using of optimization methods aims to achieve highly efficient control, reducing the transient state period and variations in steady state. This methods were applied on a simulation model in order to verify which one provides better control results.