Impulsive Adaptive Dynamic Programming for Spacecraft Pose Tracking Control Based on Fully Actuated System Model

This paper develops an impulsive control scheme for spacecraft pose tracking using adaptive dynamic programming. A novel second-order fully actuated system model is formulated on SE(3) to capture the coupled attitude-orbit dynamics. The proposed method employs neural networks to approximate optimal control policies between impulsive actions, overcoming computational complexity while ensuring convergence. The effectiveness of the proposed approach is verified through numerical simulations.