Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 1994.07a
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- Pages.273-276
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- 1994
Adaptive filter and Fuzzy Controller for Speed Sensor-Less Vector Control of Induction Motor
적응필터와 퍼지제어기를 이용한 유도전동기의 속도센서 없는 벡터제어
- Kim, Sang-Uk (Dept. of Electrical Eng., INHA Univ.) ;
- Yang, Lee-Woo (Dept. of Electrical Eng., INHA Univ.) ;
- Kim, Young-Seok (Dept. of Electrical Eng., INHA Univ.)
- Published : 1994.07.21
Abstract
It has been known the fact that extended Kalman filter (EKF) is correctly capable of estimating system parameters and state variables by eliminating virtually all influences of structural noises, and fuzzy controller is robust to parameter variations. this paper presents a design method of Reduced-Order EKF and fuzzy controller which consists of the rotor speed and the rotor flux estimation only by measuring stator currents. Experiment results show that both the rotor speed and the rotor flux can be prominently estimated in a wide range of the speed.
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