Distributed attitude coordinated tracking control for multi-group spacecrafts based on input normalized adaptive neural network

In this paper, the distributed attitude coordinated tracking controller is presented for multi-group spacecrafts based on input normalized adaptive neural network. In contrast to the existing works about spacecraft formation flying(SFF), where all spacecrafts reach the same reference attitude asymptotically, we require that all spacecrafts track several leaders and each spacecraft only synchronize within its group leader, respectively. A distributed finite time observer is proposed for each spacecraft to obtain an accurate estimation of its corresponding reference attitude. A distributed attitude coordination controller based on input normalized neural network is proposed to guarantee that the whole spacecrafts track their corresponding reference attitude cooperatively. Based on Lyapunov theory, the stability of the overall closed-loop system is guaranteed, and numerical simulations are shown to demonstrate the effectiveness of the proposed controller.