• DocumentCode
    2846974
  • Title

    UAV flocking with wind gusts: Adaptive topology and model reduction

  • Author

    Chapman, A. ; Mesbahi, M.

  • Author_Institution
    Dept. of Aeronaut. & Astronaut., Univ. of Washington, Seattle, WA, USA
  • fYear
    2011
  • fDate
    June 29 2011-July 1 2011
  • Firstpage
    1045
  • Lastpage
    1050
  • Abstract
    In this paper, we examine the problem of UAV flocking in the presence of wind gusts. Firstly, we model a velocity consensus-based leader-follower system exposed to gust disturbances and design an optimal controller, in the linear quadratic sense, to improve velocity tracking. We then proceed to examine topological features that promote the performance of such optimal controllers to design a network rewiring protocol for improved system performance. Finally we present a novel partitioning schemed, dubbed leader partition, in order to fuse "similar" states in the network, forming a graph theoretic method for model reduction.
  • Keywords
    adaptive control; aerospace robotics; autonomous aerial vehicles; control system synthesis; graph theory; multi-robot systems; reduced order systems; velocity control; UAV flocking; adaptive topology; dubbed leader partition scheme; graph theoretic method; model reduction; network rewiring protocol; optimal controller design; unmanned aerial vehicles; velocity consensus-based leader-follower system; velocity tracking; wind gust; Controllability; Erbium; Lead; Network topology; Protocols; Reduced order systems; Topology; Adaptive graphs; Consensus protocol; Coordinated control over networks; Leader-Follower consensus; Model reduction; UAV flocking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2011
  • Conference_Location
    San Francisco, CA
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4577-0080-4
  • Type

    conf

  • DOI
    10.1109/ACC.2011.5990799
  • Filename
    5990799