Adaptive Neural Network Output Constraint Control for a Flexible Spacecraft System

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.