Speed Sensorless Vector Control of Induction Motors Using a Minimum-order Extended Kalman Filter

최소 차수 확장 칼만 필터를 이용한 속도센서 없는 유도전동기 벡터제어

This paper proposes a speed sensorless vector control of induction motor using a minimum-order EKF(extended kalman filter). Minimum-order EKF has the advantage of reducing the computational estimation cost because the stator current is not estimated. EKF does not deteriorate the performance of the overall speed control system, even though the measurements are relatively noisy. The estimated rotor speed is used for vector control and overall speed control. Computer simulations of the speed sensorless vector control are carried out to test the usefulness of the minimum-order EKF algorithm.