DocumentCode
506785
Title
Indirect adaptive fuzzy control of satellite based on input-output stability theory
Author
Guang, Sun ; Wei, Huo
Author_Institution
Seventh Res. Div., Beijing Univ. of Aeronaut. & Astronaut., Beijing, China
Volume
2
fYear
2009
fDate
20-22 Nov. 2009
Firstpage
567
Lastpage
571
Abstract
Based on input-output stability theory, a multi-input multi-output indirect adaptive fuzzy tracking control method for satellite attitude systems with parametric uncertainty and external disturbance is presented. First, a nonlinear controller is designed based on the satellite precision model, and stability of the closed-loop system is analyzed; then, because of contained the parametric uncertainty and external disturbance in the model, an adaptive fuzzy controller is constructed through using fuzzy logic system to approximate the uncertain section. Last, it is proved that the proposed controller can make the satellite track to the located place, and force the tracking error to converge to a small neighborhood of the origin. Simulation results show the satisfied control accuracy and robustness to the model uncertainty.
Keywords
adaptive control; aircraft control; artificial satellites; attitude control; closed loop systems; fuzzy control; fuzzy logic; input-output stability; nonlinear control systems; uncertain systems; closed-loop system stability; external disturbance; fuzzy logic system; input-output stability theory; multiinput multioutput indirect adaptive fuzzy tracking control; nonlinear controller; parametric uncertainty; satellite attitude control; satellite precision model; Adaptive control; Control systems; Fuzzy control; Fuzzy logic; Fuzzy systems; Nonlinear control systems; Programmable control; Satellites; Stability; Uncertainty; adaptive fuzzy control; input-output stability; satellite attitude control;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-4754-1
Electronic_ISBN
978-1-4244-4738-1
Type
conf
DOI
10.1109/ICICISYS.2009.5358317
Filename
5358317
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