• DocumentCode
    3163357
  • Title

    Collision-free UAV formation flight using decentralized optimization and invariant sets

  • Author

    Borrelli, Francesco ; Keviczky, Tamas ; Balas, Gary J.

  • Author_Institution
    Dept. of Aerosp. Eng. & Mechanics, Minnesota Univ., Minneapolis, MN, USA
  • Volume
    1
  • fYear
    2004
  • fDate
    17-17 Dec. 2004
  • Firstpage
    1099
  • Abstract
    We consider the problem of formation flight for a set of unmanned air vehicles (UAV). We propose a decentralized control design procedure which guarantees collision avoidance and constraint fulfillment. The control design is based on a decentralized receding horizon control (RHC) scheme. Vehicle collision avoidance is ensured by considering a collision-free emergency maneuver which is implemented when feasibility of the decentralized RHC scheme is lost. Bounds on speed and accelerations are computed off-line using simple polyhedral invariant set computations. Such bounds guarantee that the implementation of the emergency maneuver leads to collision-free trajectories. The proposed decentralized control scheme is formulated as mixed-integer linear programs of small sizes which can be translated into equivalent piecewise affine state-feedback controllers. These controllers can be implemented in real-time once the corresponding look-up tables are downloaded to the hardware platform of the UAVs.
  • Keywords
    aerospace robotics; collision avoidance; control engineering computing; control system synthesis; decentralised control; feedback; integer programming; linear programming; military aircraft; mobile robots; multi-robot systems; remotely operated vehicles; telerobotics; acceleration bounds; collision avoidance; collision-free UAV formation flight; collision-free emergency maneuver; constraint fulfillment; decentralized control design; decentralized optimization; decentralized receding horizon control; invariant sets; look-up tables; mixed-integer linear programs; piecewise affine state-feedback controllers; simple polyhedral invariant set computations; speed bounds; unmanned aerial vehicles; Centralized control; Collision avoidance; Contracts; Distributed control; Monitoring; Optimal control; Predictive models; Size control; Synthetic aperture radar; Unmanned aerial vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2004. CDC. 43rd IEEE Conference on
  • Conference_Location
    Nassau
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-8682-5
  • Type

    conf

  • DOI
    10.1109/CDC.2004.1428839
  • Filename
    1428839