22nd Congress of International Council of the Aeronautical Sciences, Harrogate, UK, 28 August - 1st September, 2000
Paper ICAS 2000-6.3.4

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

J -M. Lin (1), H -P. Wang (1), M -C. Lin (1), J. Lin (1), H. Wang (2), M. Lin(2)
(1) Department of Mechanical Engineering, Chung Hua University, Hsin-Chu, Taiwan; (2) Department of Electrical Engineering, Chung Cheng Institute of Technology,Ta-His, Tao-Yuan, Taiwan

Keywords: linear-exponential-quadratic-gaussian, loop-transfer-recovery, speed sensorless, induction motor servo drives, vector control, extended kalman filter

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.

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