• DocumentCode
    3486423
  • Title

    Model Predictive Control for the dynamic encirclement of a target

  • Author

    Marasco, Anthony J. ; Givigi, Sidney N. ; Rabbath, C.A.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., R. Mil. Coll. of Canada, Kingston, ON, Canada
  • fYear
    2012
  • fDate
    27-29 June 2012
  • Firstpage
    2004
  • Lastpage
    2009
  • Abstract
    Encirclement is a tactic that can be employed by a team of UAVs to neutralize a target by restricting its movement. The aim of the UAV team encircling the target is to move close to the target and maintain a formation around the target. In this paper, the problem of creating a dynamic circular formation around a target is considered, and a Decentralized Model Predictive Control (DMPC) policy is formulated. It is shown through simulation results that the derived MPC policy is effective for the case of a single UAV encircling a stationary target, a single UAV encircling a moving target, and a group of UAVs encircling a stationary target. The contributions of this paper are the application of MPC to the problem of encirclement, and the explicit objective of a dynamic circular formation around the target.
  • Keywords
    autonomous aerial vehicles; decentralised control; position control; predictive control; DMPC; UAV team; decentralized model predictive control policy; dynamic circular formation; dynamic target encirclement; Acceleration; Cost function; Predictive control; Steady-state; Turning; Vectors; Vehicle dynamics; Nonlinear Model Predictive Control; Unmanned Aerial Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2012
  • Conference_Location
    Montreal, QC
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4577-1095-7
  • Electronic_ISBN
    0743-1619
  • Type

    conf

  • DOI
    10.1109/ACC.2012.6315602
  • Filename
    6315602