The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Dans cet article, la méthodologie LEQG/LTR (Linear Exponential Quadratic Gaussian with Loop Transfer Recovery) est utilisée pour la conception de systèmes d'asservissement de moteur à induction hautes performances. De plus, nous concevons un pilote à commande vectorielle de moteur à induction sans capteur de vitesse avec à la fois le filtre de Kalman étendu et l'algorithme LEQG/LTR. La réalisation expérimentale d'un système d'asservissement à induction est donnée. Par rapport aux méthodes traditionnelles PI et LQG/LTR, on peut constater que la sensibilité de sortie du système pour les variations de paramètres et le temps de montée pour une entrée de commande plus importante de la méthode proposée peuvent être considérablement réduits.
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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},}
Copier
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 -