• DocumentCode
    630826
  • Title

    Dynamic encirclement of a moving target using decentralized nonlinear Model Predictive Control

  • Author

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

  • Author_Institution
    Dept. of Electr. & Comput. Eng., R. Mil. Coll. of Canada, Kingston, ON, Canada
  • fYear
    2013
  • fDate
    17-19 June 2013
  • Firstpage
    3960
  • Lastpage
    3966
  • Abstract
    Dynamic encirclement is a tactic which can be employed by a group of UAVs to neutralize a target by restricting its movement, or provide constant surveillance of a target. The aim of the UAVs in the formation is to move into a position close to the target and establish a moving formation around the target. In this paper, the problem of creating a dynamic circular formation around a moving target is considered, and a Decentralized Model Predictive Control (DMPC) policy is formulated. Using theoretical results, a stabilizing control policy is derived, and the policy is validated through simulation results. Furthermore, we examine the effects of communications between the UAVs and the use of a model target on the performance of the UAVs. The contributions of this paper are the extension of the dynamic encirclement tactic to the case of a group of UAVs and a moving target, the consideration of a target model and communications, and the application of theoretical stability analysis to the problem.
  • Keywords
    autonomous aerial vehicles; decentralised control; nonlinear control systems; predictive control; robust control; DMPC policy; UAV; UAV performance; decentralized model predictive control policy; dynamic circular formation; moving formation; moving target dynamic encirclement tactic; stabilized control policy; target neutralization; target surveillance; Mathematical model; Simulation; Stability analysis; Trajectory; Vectors; Vehicle dynamics; Vehicles; Nonlinear Model Predictive Control; Unmanned Aerial Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2013
  • Conference_Location
    Washington, DC
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4799-0177-7
  • Type

    conf

  • DOI
    10.1109/ACC.2013.6580445
  • Filename
    6580445