Modeling and adaptive control for a spatial flexible spacecraft with unknown actuator failures

Abstract

In this paper, we address simultaneous control of a flexible spacecraft's attitude and vibrations in a three-dimensional space under input disturbances and unknown actuator failures. Using Hamilton's principle, the system dynamics is modeled as an infinite dimensional system captured using partial differential equations. Moreover, a novel adaptive fault tolerant control strategy is developed to suppress the vibrations of the flexible panel in the course of the attitude stabilization. To determine whether the system energies, angular velocities and transverse deflections, remain bounded and asymptotically decay to zero in the case wherein the number of actuator failures is infinite, a Lyapunov-based stability analysis is conducted. Finally, extensive numerical simulations are performed to demonstrate the performance of the proposed adaptive control strategy.

Adaptive neural network control for nonlinear cyber-physical systems subject to false data injection attacks with prescribed performance

“…It can be concluded from the simulation results that all closed-loop signals are uniformly bounded, and the real output signal will not exceed the prescribed boundary. In future work, we will involve the study of learning control [43,44] or actuator failure [45] in NCPSs.…”

Fuzzy-Affine-Model-Based Sliding-Mode Control for Discrete-Time Nonlinear 2-D Systems via Output Feedback

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Adaptive fixed‐time fuzzy control for nonlinear systems with actuator faults

“…Actuator faults, which often result in performance degradation and system instability, are very common in practical engineering applications. To improve the stability of the system and the reliability of the controller, fault-tolerant control has attracted wide attention and many remarkable results have been achieved for a class of nonlinear systems, such as: spacecraft, 70,71 Remark 4. In order to compensate for actuator faults, we can see that good tracking performance can be obtained by selecting proper control parameters, which can be done by referring to the results in References 57,63.…”