{"title":"Optimal energy consumption of an induction motor using particle swarm optimization","authors":"Khemiri Wahiba, A. Sakly, M. Mimouni","doi":"10.1109/ICTIA.2014.7883775","DOIUrl":null,"url":null,"abstract":"This paper present an approach to solve the optimal energy consumption problem in an induction motor (IM) in transient regime. The proposed approach employs particle swarm optimization (PSO) algorithm for optimal setting of the problem variables. The PSO-based approach uses the information about the speed and determines the minimum-energy rotor flux parameters. The simulation results are presented and compared with the results of conventional field oriented control (FOC) and the optimized field oriented control (OFOC). The results show that the new PSO-based algorithm is much more efficient than the other methods.","PeriodicalId":390925,"journal":{"name":"2014 Information and Communication Technologies Innovation and Application (ICTIA)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Information and Communication Technologies Innovation and Application (ICTIA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTIA.2014.7883775","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
This paper present an approach to solve the optimal energy consumption problem in an induction motor (IM) in transient regime. The proposed approach employs particle swarm optimization (PSO) algorithm for optimal setting of the problem variables. The PSO-based approach uses the information about the speed and determines the minimum-energy rotor flux parameters. The simulation results are presented and compared with the results of conventional field oriented control (FOC) and the optimized field oriented control (OFOC). The results show that the new PSO-based algorithm is much more efficient than the other methods.