Title
Active attitude fault-tolerant tracking control of flexible spacecraft via the Chebyshev neural network
Abstract
This paper describes a novel finite-time attitude tracking control approach for flexible spacecraft. This is achieved by integrating sliding-mode control and the active real-time fault-tolerant reconfiguration method. In this approach, the attitude error dynamics and the kinematics of the flexible spacecraft are first established. Then, a nonsingular terminal sliding-mode surface is designed, based on finite-time control theory. Applying the Chebyshev neural network, the uncertain dynamics induced by external disturbances and uncertain inertia parameters are approximated and estimated. The nominal control law and the compensation control law to obtain the active reconfiguration fault-tolerant controller are finally developed in normal and fault conditions, respectively. The closed-loop tracking system is proved to be uniformly ultimately bounded stable after a finite time. Numerical simulations are presented for a flexible spacecraft to illustrate the efficiency of the proposed controller.
Year
DOI
Venue
2019
10.1177/0142331218803410
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL
Keywords
DocType
Volume
Flexible spacecraft,Chebyshev neural network,terminal sliding mode,actuator fault,finite-time control
Journal
41.0
Issue
ISSN
Citations 
SP4
0142-3312
0
PageRank 
References 
Authors
0.34
14
3
Name
Order
Citations
PageRank
Kunfeng Lu11477.24
Tianya Li210.69
Lijun Zhang324537.10