{"title":"基于扩展卡尔曼滤波的感应电机无传感器直接矢量控制","authors":"M. Barut, M. Gokasan, O. Bogosyan","doi":"10.1109/IECON.2003.1279999","DOIUrl":null,"url":null,"abstract":"In this study, it is aimed to design a rotor-oriented sensorless direct vector control for the speed control of an induction motor (IM). For this purpose, all the states required for direct vector control in addition to the step-shaped load torque and rotor resistance are estimated using extended Kalman Filter (EKF). Simulation results demonstrate a good performance and robustness to variations of load and rotor resistance.","PeriodicalId":403239,"journal":{"name":"IECON'03. 29th Annual Conference of the IEEE Industrial Electronics Society (IEEE Cat. No.03CH37468)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":"{\"title\":\"An extended Kalman filter based sensorless direct vector control of induction motors\",\"authors\":\"M. Barut, M. Gokasan, O. Bogosyan\",\"doi\":\"10.1109/IECON.2003.1279999\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this study, it is aimed to design a rotor-oriented sensorless direct vector control for the speed control of an induction motor (IM). For this purpose, all the states required for direct vector control in addition to the step-shaped load torque and rotor resistance are estimated using extended Kalman Filter (EKF). Simulation results demonstrate a good performance and robustness to variations of load and rotor resistance.\",\"PeriodicalId\":403239,\"journal\":{\"name\":\"IECON'03. 29th Annual Conference of the IEEE Industrial Electronics Society (IEEE Cat. No.03CH37468)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-11-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"17\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IECON'03. 29th Annual Conference of the IEEE Industrial Electronics Society (IEEE Cat. No.03CH37468)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IECON.2003.1279999\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IECON'03. 29th Annual Conference of the IEEE Industrial Electronics Society (IEEE Cat. No.03CH37468)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IECON.2003.1279999","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An extended Kalman filter based sensorless direct vector control of induction motors
In this study, it is aimed to design a rotor-oriented sensorless direct vector control for the speed control of an induction motor (IM). For this purpose, all the states required for direct vector control in addition to the step-shaped load torque and rotor resistance are estimated using extended Kalman Filter (EKF). Simulation results demonstrate a good performance and robustness to variations of load and rotor resistance.