LEQG/LTR Controller Design with Extended Kalman Filter for Sensorless Induction Motor Servo Drive

Jium-Ming LIN  Hsiu-Ping WANG  Ming-Chang LIN  

Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E82-A   No.12   pp.2793-2801
Publication Date: 1999/12/25
Online ISSN: 
DOI: 
Print ISSN: 0916-8508
Type of Manuscript: PAPER
Category: Systems and Control
Keyword: 
linear-exponential-quadratic-gaussian,  loop-transfer-recovery,  speed sensorless,  induction motor servo drives,  vector control,  extended Kalman filter,  

Full Text: PDF>>
Buy this Article




Summary: 
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.