LEQG/LTR Controller Design with Extended Kalman Filter for Sensorless Induction Motor Servo Drive
نویسندگان
چکیده
In this paper, the Linear Exponential Quadratic Gaussian with Loop Transfer Recovery (LEQG/LTR) methodology is employed for the design of high performance induction motor servo systems. In addition, we design a speed sensorless induction motor vector controlled driver with both the extended Kalman filter and the LEQG/LTR algorithm. The experimental realization of an induction servo system is given. Compared with the traditional PI and LQG/LTR methods, it can be seen that the system output sensitivity for parameter variations and the rising time for larger command input of the proposed method can be significantly reduced. key words: linear-exponential-quadratic-gaussian, loop-transfer-recovery, speed sensorless, induction motor servo drives, vector control, extended Kalman filter
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