title: Neural network-based distributed attitude coordination control for spacecraft formation flying with input saturation.
abstract: This brief considers the attitude coordination control problem for spacecraft formation flying when only a subset of the group members has access to the common reference attitude. A quaternion-based distributed attitude coordination control scheme is proposed with consideration of the input saturation and with the aid of the sliding-mode observer, separation principle theorem, Chebyshev neural networks, smooth projection algorithm, and robust control technique. Using graph theory and a Lyapunov-based approach, it is shown that the distributed controller can guarantee the attitude of all spacecraft to converge to a common time-varying reference attitude when the reference attitude is available only to a portion of the group of spacecraft. Numerical simulations are presented to demonstrate the performance of the proposed distributed controller.
authors.forename: An-Min
authors.initials: AM
authors.lastname: Zou
authors.forename: Krishna Dev
authors.initials: KD
authors.lastname: Kumar
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence / Q000592:standards*; D001290:Attitude; D003198:Computer Simulation / Q000592:standards; D016571:Neural Networks, Computer; D012815:Signal Processing, Computer-Assisted; D018531:Spacecraft / Q000592:standards*