Xicai Liu, Jin Wang, Zhixiong Li, Hao Zuo, Libing Zhou, R. Kennel
{"title":"Simplified Predictive Torque Control of Five Phase Permanent Magnet Motor with Non-Sinusoidal Back-EMF","authors":"Xicai Liu, Jin Wang, Zhixiong Li, Hao Zuo, Libing Zhou, R. Kennel","doi":"10.1109/IECON.2018.8591111","DOIUrl":null,"url":null,"abstract":"This paper presents a simplified model predictive torque control (PTC) algorithm for surface-mounted five phase permanent magnet synchronous motors with non-sinusoidal back-EMF. The number of weighting factors is greatly reduced in comparison to conventional model predictive torque control. Three cost functions are evaluated in sequential manner to control the total torque and direct-axis currents. In the proposed method, the control performances can be adjusted by changing the selection criteria of the candidate voltage vectors, while it is done by tuning the weighting factors in conventional PTC. Simulation results have shown that, with the proposed method, predictive torque control of multiphase motor drives can be realized in a more simple and flexible way.","PeriodicalId":370319,"journal":{"name":"IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society","volume":"38 38","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IECON.2018.8591111","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 a simplified model predictive torque control (PTC) algorithm for surface-mounted five phase permanent magnet synchronous motors with non-sinusoidal back-EMF. The number of weighting factors is greatly reduced in comparison to conventional model predictive torque control. Three cost functions are evaluated in sequential manner to control the total torque and direct-axis currents. In the proposed method, the control performances can be adjusted by changing the selection criteria of the candidate voltage vectors, while it is done by tuning the weighting factors in conventional PTC. Simulation results have shown that, with the proposed method, predictive torque control of multiphase motor drives can be realized in a more simple and flexible way.