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- Title
Neural Adaptive Fixed-Time Attitude Stabilization and Vibration Suppression of Flexible Spacecraft.
- Authors
Yao, Qijia; Jahanshahi, Hadi; Moroz, Irene; Alotaibi, Naif D.; Bekiros, Stelios
- Abstract
This paper proposes a novel neural adaptive fixed-time control approach for the attitude stabilization and vibration suppression of flexible spacecraft. First, the neural network (NN) was introduced to identify the lumped unknown term involving uncertain inertia, external disturbance, torque saturation, and elastic vibrations. Then, the proposed controller was synthesized by embedding the NN compensation into the fixed-time backstepping control framework. Lyapunov analysis showed that the proposed controller guaranteed the stabilization of attitude and angular velocity to the adjustable small neighborhoods of zero in fixed time. The proposed controller is not only robust against uncertain inertia and external disturbance, but also insensitive to elastic vibrations of the flexible appendages. At last, the excellent stabilization performance and good vibration suppression capability of the proposed control approach were verified through simulations and detailed comparisons.
- Subjects
SPACE vehicles; ARTIFICIAL satellite attitude control systems; ADAPTIVE control systems; ANGULAR velocity; ATTITUDE (Psychology); NEIGHBORHOODS
- Publication
Mathematics (2227-7390), 2022, Vol 10, Issue 10, p1667
- ISSN
2227-7390
- Publication type
Article
- DOI
10.3390/math10101667