Neural Network-Based Spacecraft Leader-Follower Trajectory Tracking Control

Abstract

In this paper, the problem of leader-follower formation tracking with multiple rigid spacecraft is studied. Considering the leader directed graph case, the goal is to drive all spacecraft to precisely track the desired trajectory. Firstly, the multi-spacecraft cooperative trajectory tracking problem is transformed into each spacecraft’s trajectory tracking problem by a distributed control algorithm. Second, the position controller is developed for position tracking under a hierarchical control framework. An applied force and a nonsingular desired attitude are calculated from the command force. Then, an adaptive neural network controller is used to approximate the applied force and ensure that the spacecraft’s attitude reaches a point of balance. Finally, numerical examples prove the utility of the algorithm.