{"title":"Simplified Model Predictive Control for a Five-Phase PMSM Using Four-Leg Inverter","authors":"S. Saeidabadi, L. Parsa","doi":"10.1109/isie51582.2022.9831485","DOIUrl":null,"url":null,"abstract":"In this paper, a cost-effective four-leg inverter is used to control five-phase permanent magnet synchronous motors (PMSM). A simplified model predictive control (MPC) method is proposed to control the speed of a five-phase PMSM with a four-leg inverter. The mathematical model of the four-leg inverter with basic voltage vectors is obtained in the ap-plane. In addition, a discrete model of the five-phase PMSM is developed to be employed in the MPC method. Due to the shorter control time intervals, the computational burden on the simplified MPC method decreases, which consequently improves the control operation on the five-phase PMSM drive. Finally, the simulation results are presented to confirm the effectiveness of the proposed control method.","PeriodicalId":194172,"journal":{"name":"2022 IEEE 31st International Symposium on Industrial Electronics (ISIE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 31st International Symposium on Industrial Electronics (ISIE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/isie51582.2022.9831485","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, a cost-effective four-leg inverter is used to control five-phase permanent magnet synchronous motors (PMSM). A simplified model predictive control (MPC) method is proposed to control the speed of a five-phase PMSM with a four-leg inverter. The mathematical model of the four-leg inverter with basic voltage vectors is obtained in the ap-plane. In addition, a discrete model of the five-phase PMSM is developed to be employed in the MPC method. Due to the shorter control time intervals, the computational burden on the simplified MPC method decreases, which consequently improves the control operation on the five-phase PMSM drive. Finally, the simulation results are presented to confirm the effectiveness of the proposed control method.