• 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