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

fYear

2010

fDate

18-23 July 2010

Firstpage

1

Lastpage

6

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks (IJCNN), The 2010 International Joint Conference on

Conference_Location

Barcelona

ISSN

1098-7576

Print_ISBN

978-1-4244-6916-1

Type

conf

DOI

10.1109/IJCNN.2010.5596931

Filename

5596931