Distributed coordinated attitude tracking control for spacecraft formation based on neural networks
Wenjia Wang, Chuanjiang Li, Yanchao Sun, Boyan Jiang · 2017
This paper investigates the distributed attitude tracking control problem of spacecraft formation under a directed communication topology. A distributed coordinated attitude tracking control law based on neural networks is introduced to deal with the uncertainties and external disturbances when the time-varying leader's trajectory is available to only a subset of follower spacecraft. A Lyapunov analysis guarantees the convergence of attitude tracking errors to an arbitrarily small domain. Simulation results demonstrate the effectiveness of the proposed controller.