Adaptive Neural Network Based on Finite-Time Attitude Control for Rigid Spacecraft During Orbit Maneuver

Spacecraft performance of attitude control is influenced by orbit control force during orbit maneuver, and exerts an impact on orbit control. To maintain the stability of the system, an adaptive neural network attitude controller based on finite-time for rigid spacecraft is designed where a neural network is utilized to approximate the general disturbances including the drift of mass center, thruster misalignment, and parameter uncertainties. The finite-time stability of the closed-loop system is demonstrated by finite-time Lyapunov stability theory. Then, the controller is applied to the rigid spacecraft with uncertainties. The results of simulation show the effectiveness of the proposed control law.