Active attitude fault-tolerant tracking control of flexible spacecraft via the Chebyshev neural network. (February 2019)

• Record Type: Journal Article
• Authors: Lu, Kunfeng; Li, Tianya; Zhang, Lijun
• Is Part Of: Transactions of the Institute of Measurement and Control. Volume 41:Number 4(2019)
• Page Start: 925
• Page End: 933
• Publication Date: 2019-02
• Subjects: Flexible spacecraft -- Chebyshev neural network -- terminal sliding mode -- actuator fault -- finite-time control; Automatic control -- Periodicals; Measuring instruments -- Periodicals; Commande automatique -- Périodiques; Mesure -- Instruments -- Périodiques; 681.2
• DOI: 10.1177/0142331218803410
• Languages: English
• ISSNs: 0142-3312

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.