Cheol Moon, K. Nam, M. Jung, Chang-Ho Chae, Y. Kwon
{"title":"基于Unscented卡尔曼滤波的永磁同步电机无传感器速度控制","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":"{\"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}","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}
Sensorless speed control of permanent magnet synchronous motor using Unscented Kalman Filter
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.