Proceedings of the KIPE Conference (전력전자학회:학술대회논문집)
- 2003.07b
- /
- Pages.803-806
- /
- 2003
Vector control of an induction motor using extended Kalman filter
확장 칼만필터를 이용한 유도전동기의 벡터제어
-
Hwang L.H.
(Semyung Univ)
;
- Jang E.S. (Semyung Univ) ;
- Nam W.Y. (Semyung Univ) ;
- Ahn I.K. (Daewon science Coll) ;
-
Cho M.T.
(Daewon science Coll)
;
- Joo H.J. (Daewon science Coll) ;
- Lee C.S. (Myongji Univ) ;
- Na S.K. (Kangwon VTI)
-
황락훈
(세명대학교)
;
- 장은성 (세명대학교) ;
- 남우영 (세명대학교) ;
- 안익수 (대원과학대) ;
-
조문택
(대원과학대)
;
- 주해종 (대원과학대) ;
- 이춘상 (명지대학교) ;
- 나승권 (강원직업전문학교)
- Published : 2003.07.01
Abstract
This paper presents a detailed study of the extended Kalman filter for estimating the rotor speed of an IM drive. The general structure of the Kalman filter is reviewed and the various system vectors and matrices are defined. By including the rotor speed as a state variable, the EKF equations are established from a discrete two axis model of the three-phase induction motor using the software MATLAB/Simulink, simulation of the EKF speed estimation algorithm is carried out for an induction motor drive with direct self control. The investigations show that the EKF is capable of tracking the actual rotor speed provided that the elements of the covariance matrices are properly selected.
Keywords