DocumentCode
2574055
Title
Cooperative control with adaptive graph Laplacians for spacecraft formation flying
Author
Chang, Insu ; Chung, Soon-Jo ; Blackmore, Lars
Author_Institution
Dept. of Aerosp. Eng., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
fYear
2010
fDate
15-17 Dec. 2010
Firstpage
4926
Lastpage
4933
Abstract
This paper investigates exact nonlinear dynamics and cooperative control for spacecraft formation flying with Earth oblateness (J2 perturbation) and atmospheric drag effects. The nonlinear dynamics for chief and deputy motions are derived by using Gauss´ variational equation and the Euler-Lagrangian formulation, respectively. The proposed cooperative control employs adaptive time-varying Laplacian gains. The tracking and diffusive coupling gains are adapted by the synchronization/tracking errors and distance-based connectivity, thereby defining a time-varying network topology. Moreover, the proposed method relaxes the network structure requirement and permits an unbalanced graph. Nonlinear stability is proven by contraction analysis and incremental input-to-state stability. Numerical examples show the effectiveness of the proposed method.
Keywords
Laplace equations; adaptive control; aerospace control; graph theory; motion control; nonlinear dynamical systems; position control; space vehicles; stability; synchronisation; time-varying systems; tracking; Earth oblateness; Euler-Lagrangian formulation; Gauss variational equation; adaptive graph Laplacian; adaptive time-varying Laplacian gains; atmospheric drag effect; chief motion; contraction analysis; cooperative control; deputy motion; diffusive coupling; distance-based connectivity; incremental input-to-state stability; network structure; nonlinear dynamics; nonlinear stability; spacecraft formation flying; synchronization error; time-varying network topology; tracking error; unbalanced graph; Aerodynamics; Atmospheric modeling; Couplings; Equations; Mathematical model; Space vehicles; Synchronization;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control (CDC), 2010 49th IEEE Conference on
Conference_Location
Atlanta, GA
ISSN
0743-1546
Print_ISBN
978-1-4244-7745-6
Type
conf
DOI
10.1109/CDC.2010.5717516
Filename
5717516
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