Title :
Spacecraft coordination control in 6DOF based on Neural Network
Author :
Min, Haibo ; Sun, Fuchun ; Wang, Shicheng ; Liu, Zhiguo ; Zhang, Jinsheng
Author_Institution :
Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China
Abstract :
We address the problem of 6DOF spacecraft formation control in a leader-follower architecture using Robust Integral of the Sign Error (RISE) based Neural Network (NN) technique. Based on 6DOF relative dynamic model of the spacecraft formation, RISE based NN is introduced to approximate the dynamics of the follower as well as various practical disturbances. It is shown that the errors of the entire formation closed-loop are guaranteed to be asymptotical stable (AS), which takes significant advantage over the typical Uniformly Upper Bounded (UUB) property of most NN controllers in high-precision formation tasks. Numerical simulation is provided to illustrate the effectiveness of the proposed algorithm.
Keywords :
aircraft control; asymptotic stability; closed loop systems; mobile robots; multi-robot systems; neurocontrollers; space vehicles; 6DOF spacecraft formation control; asymptotical stable; formation closed-loop; leader-follower architecture; neural network technique; robust integral of the sign error; spacecraft coordination control; uniformly upper bounded property; Artificial neural networks; Lead;
Conference_Titel :
Neural Networks (IJCNN), The 2010 International Joint Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-6916-1
DOI :
10.1109/IJCNN.2010.5596931