• DocumentCode
    3308262
  • Title

    Decentralized receding horizon control for multiple unmanned helicopters considering dynamics model

  • Author

    He, Yuqing ; Han, Jianda

  • Author_Institution
    State Key Lab. of Robot., Chinese Acad. of Sci., Shenyang, China
  • fYear
    2009
  • fDate
    15-18 Dec. 2009
  • Firstpage
    8351
  • Lastpage
    8356
  • Abstract
    In this paper, the formation flight of multiple Unmanned Helicopter (UH) systems is researched and a new decentralized receding horizon formation control algorithm is supposed. The formulation of formation control problem is firstly given where a local tracking controller for each helicopter system is supposed and the flight trajectories are taken as optimizing variables. Secondly, full dynamics of UH system is introduced into the formation control algorithm by a new concept of Formation Control Lyapunov Functions (FCLF). Subsequently, the convergence of the proposed formation control algorithm is ensured by combining the concept of FCLF and some constraints with respect to the optimized variables. Finally, in order to verify the feasibility and validity of the proposed algorithm, the formation flight simulations of 3 UH systems are conducted.
  • Keywords
    Lyapunov methods; aircraft control; decentralised control; helicopters; position control; predictive control; remotely operated vehicles; tracking; decentralized receding horizon formation control; flight trajectories; formation control Lyapunov functions; formation flight simulations; local tracking controller; model based predictive control; multiple unmanned helicopters; Aerospace control; Algorithm design and analysis; Centralized control; Constraint optimization; Control systems; Convergence; Helicopters; Lyapunov method; Optimal control; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
  • Conference_Location
    Shanghai
  • ISSN
    0191-2216
  • Print_ISBN
    978-1-4244-3871-6
  • Electronic_ISBN
    0191-2216
  • Type

    conf

  • DOI
    10.1109/CDC.2009.5400342
  • Filename
    5400342