축소모델 확장 칼만필터를 이용한 유도전동기의 센스리스 벡터제어

Speed Sensorless Vector Control of Induction Motor Using a Reduced-model Extended Kalman Filter

This paper presents a detailed study of the reduced-model extended Kalman filter(EKF) for estimating the rotor speed of an induction motor 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 indirect vector control.