A. Iqbal, H. Abu-Rub, P. Cortes, José R. Rodríguez
{"title":"Finite control set model predictive current control of a five-phase voltage source inverter","authors":"A. Iqbal, H. Abu-Rub, P. Cortes, José R. Rodríguez","doi":"10.1109/ICIT.2010.5472502","DOIUrl":null,"url":null,"abstract":"The paper proposes model based current control of a five-phase voltage source inverter considering a finite set of control actions. The space vector model of a five-phase voltage source inverter (VSI) yields 32 vectors, with 30 active and two zero vectors. The presented technique utilizes 11 space vectors for the current control and hence the name finite control set is given. Search is made by the algorithm to find the vector which minimizes the chosen cost function. It is shown that the performance of the current control relies upon the choice of the cost function, the number of vectors used and the sampling time. The developed technique is tested for RLE load using simulation approach.","PeriodicalId":256385,"journal":{"name":"2010 IEEE International Conference on Industrial Technology","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE International Conference on Industrial Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIT.2010.5472502","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
The paper proposes model based current control of a five-phase voltage source inverter considering a finite set of control actions. The space vector model of a five-phase voltage source inverter (VSI) yields 32 vectors, with 30 active and two zero vectors. The presented technique utilizes 11 space vectors for the current control and hence the name finite control set is given. Search is made by the algorithm to find the vector which minimizes the chosen cost function. It is shown that the performance of the current control relies upon the choice of the cost function, the number of vectors used and the sampling time. The developed technique is tested for RLE load using simulation approach.