Cheol Moon, K. Nam, M. Jung, Chang-Ho Chae, Y. Kwon
{"title":"Sensorless speed control of permanent magnet synchronous motor using Unscented Kalman Filter","authors":"Cheol Moon, K. Nam, M. Jung, Chang-Ho Chae, Y. Kwon","doi":"10.6109/JKIICE.2012.16.5.967","DOIUrl":null,"url":null,"abstract":"Recently, sensorless controls, which eliminate position and speed sensors in a permanent magnet synchronous motor drive, have been much studied. Most sensorless control algorithms are based on speed estimations which are obtained from the voltage equations. This paper proposes a sensorless speed control of PMSM based on the Unscented Kalman Filter. The Unscented Kalman Filter theory can omit linearization process and prevent error problems due to the linearization compared to the Extended Kalman Filter. In the UKF for a sensorless speed control of PMSM, two stationary reference frame currents, speed, and rotor position are estimated. The proposed algorithm is demonstrated through the simulation and experiment.","PeriodicalId":411966,"journal":{"name":"2012 Proceedings of SICE Annual Conference (SICE)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Proceedings of SICE Annual Conference (SICE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.6109/JKIICE.2012.16.5.967","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
Recently, sensorless controls, which eliminate position and speed sensors in a permanent magnet synchronous motor drive, have been much studied. Most sensorless control algorithms are based on speed estimations which are obtained from the voltage equations. This paper proposes a sensorless speed control of PMSM based on the Unscented Kalman Filter. The Unscented Kalman Filter theory can omit linearization process and prevent error problems due to the linearization compared to the Extended Kalman Filter. In the UKF for a sensorless speed control of PMSM, two stationary reference frame currents, speed, and rotor position are estimated. The proposed algorithm is demonstrated through the simulation and experiment.