Active attitude fault-tolerant tracking control of flexible spacecraft via the Chebyshev neural network

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 s...

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Bibliographic Details
Published in:Transactions of the Institute of Measurement and Control 2019-02, Vol.41 (4), p.925-933
Main Authors: Lu, Kunfeng, Li, Tianya, Zhang, Lijun
Format: Article
Language:English
Subjects:
Active control
Chebyshev approximation
Computer simulation
Control theory
Controllers
Fault tolerance
Flexible spacecraft
Kinematics
Neural networks
Parameter estimation
Parameter uncertainty
Reconfiguration
Sliding mode control
Spacecraft attitude control
Spacecraft tracking
Tracking control
Tracking systems
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Summary: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.
ISSN:0142-3312
1477-0369
DOI:10.1177/0142331218803410