LEQG/LTR CONTROLLER DESIGN WITH EXTENDED　KALMAN FILTER FOR SENSORLESS INDUCTION MOTOR　SERVO DRIVE

摘要

In this paper, the Linear Exponential Quadratic Gaussianrnwith Loop Transfer Recovery (LEQG/LTR) methodologyrnis employed for the design of high performance inductionrnmotor servo systems. In addition, we design a speed sensorlessrninduction motor vector controlled driver with bothrnthe extended Kalman filter and the LEQG/LTR algorithm.rnThe experimental realization of an induction servo systemrnis given. Compared with the traditional PI and LQG/LTRrnmethods, it can be seen that the system output sensitivityrnfor parameter variations and the rising time for larger commandrninput of the proposed method can be significantlyrnreduced.