Attitude control for dumbbell-shaped spacecraft subject to parameter uncertainty via fully-actuated system approach and deep reinforcement learning
Abstract
This paper studies the attitude control problem for a dumbbell-shaped flexible spacecraft with parameter uncertainty. To this end, based on the dynamic formulation and transformation of dumbbell-shaped spacecraft, a composite control framework is synthesised by integrating feedback and observer. A parameterised feedback controller is constructed via fully-actuated system approach and a disturbance observer based on deep reinforcement learning is proposed to deal with parameter uncertainty. The proposed method offers an intelligent and effective solution from a practical viewpoint. Finally, numerical simulations validate the superiority of the method with comparison.
Fields of Study & Subjects
Adaptive Control of Nonlinear Systems
Space Satellite Systems and Control
Adaptive Dynamic Programming Control
Publication details
- Journal / source
- International Journal of Systems Science
- Publisher
- Informa UK Limited
- Volume
- 57
- Issue
- 12
- Pages
- 3968–3985
- Publication date
- 29 March 2026
- Language
- EN