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LEQG/LTR Controller Design with Extended Kalman Filter for Sensorless Induction Motor Servo Drive
Jium-Ming LIN Hsiu-Ping WANG Ming-Chang LIN
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 1999/12/25
Print ISSN: 0916-8508
Type of Manuscript: PAPER
Category: Systems and Control
linear-exponential-quadratic-gaussian, loop-transfer-recovery, speed sensorless, induction motor servo drives, vector control, extended Kalman filter,
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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.