• DocumentCode
    163993
  • Title

    Flocking of multiple Unmanned Aerial Vehicles by LQR control

  • Author

    Saif, Osamah ; Fantoni, I. ; Zavala-Rio, Arturo

  • Author_Institution
    Univ. of Technol. of Compiegne (UTC), Compiegne, France
  • fYear
    2014
  • fDate
    27-30 May 2014
  • Firstpage
    222
  • Lastpage
    228
  • Abstract
    In this paper, we address the control problem of multiple Unmanned Aerial Vehicles (UAVs) flocking by using a behavior-based strategy. We conceive a behavior intending to address the control design towards a successful achievement of the flocking task without fragmentation. Moreover, through its implemention in UAVs, no rendezvous point is needed to perform flocking. We design a control law, which is independent of the number of UAVs in the flock. We use the LQR control method to develop our strategy. Our proposed strategy deals with the flocking problem from a measurement-mapping perspective. Simulation results show two scenarios of aggregation and navigation of multiple UAVs.
  • Keywords
    aircraft navigation; autonomous aerial vehicles; control system synthesis; LQR control; behavior-based strategy; control design; control law design; flocking problem; measurement-mapping perspective; multiple unmanned aerial vehicle flocking; navigation; Control design; Educational institutions; Graph theory; Navigation; Security; Trajectory; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Unmanned Aircraft Systems (ICUAS), 2014 International Conference on
  • Conference_Location
    Orlando, FL
  • Type

    conf

  • DOI
    10.1109/ICUAS.2014.6842259
  • Filename
    6842259