Adaptive Neural Network Output Constraint Control for a Flexible Spacecraft System
- Resource Type
- Conference
- Authors
- Li, Senming; Liu, Yu; Chen, Xiongbin; Mei, Yanfang
- Source
- 2021 36th Youth Academic Annual Conference of Chinese Association of Automation (YAC) Chinese Association of Automation (YAC), 2021 36th Youth Academic Annual Conference of. :436-441 May, 2021
- Subject
- Aerospace
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Power, Energy and Industry Applications
Robotics and Control Systems
Transportation
Space vehicles
Vibrations
Adaptation models
Backstepping
Adaptive systems
Neural networks
Stability analysis
Flexible unmanned spacecraft
backstepping technique
adaptive neural network control
asymmetric constraint
- Language
A boundary control law is constructed to achieve the goals of the angle tracking and vibration control for flexible spacecraft system. A boundary adaptive neural network control with backstepping technique is put forward. In the process of control design, neural networks are utilized to dispose of system parameters uncertainties characteristic. A modified barrier Lyapunov function is proposed for addressing symmetric output constraint problem. Rigorous Lyaponov analysis demonstrate the system stability. The assistance of simulations is conducive to present the validity of this paper.