IEICE TRANSACTIONS on Fundamentals
LEQG/LTR Controller Design with Extended Kalman Filter for Sensorless Induction Motor Servo Drive
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.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E82-A No.12 pp.2793-2801
- Publication Date
- 1999/12/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- PAPER
- Category
- Systems and Control
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Jium-Ming LIN, Hsiu-Ping WANG, Ming-Chang LIN, "LEQG/LTR Controller Design with Extended Kalman Filter for Sensorless Induction Motor Servo Drive" in IEICE TRANSACTIONS on Fundamentals,
vol. E82-A, no. 12, pp. 2793-2801, December 1999, doi: .
Abstract: 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.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e82-a_12_2793/_p
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@ARTICLE{e82-a_12_2793,
author={Jium-Ming LIN, Hsiu-Ping WANG, Ming-Chang LIN, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={LEQG/LTR Controller Design with Extended Kalman Filter for Sensorless Induction Motor Servo Drive},
year={1999},
volume={E82-A},
number={12},
pages={2793-2801},
abstract={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.},
keywords={},
doi={},
ISSN={},
month={December},}
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TY - JOUR
TI - LEQG/LTR Controller Design with Extended Kalman Filter for Sensorless Induction Motor Servo Drive
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2793
EP - 2801
AU - Jium-Ming LIN
AU - Hsiu-Ping WANG
AU - Ming-Chang LIN
PY - 1999
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E82-A
IS - 12
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - December 1999
AB - 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.
ER -
English
