• DocumentCode
    630873
  • Title

    Optimal trajectory for network establishment of remote UAVs

  • Author

    Panyakeow, Prachya ; Ran Dai ; Mesbahi, Mehran

  • Author_Institution
    Dept. of Aeronaut. & Astronaut., Univ. of Washington, Seattle, WA, USA
  • fYear
    2013
  • fDate
    17-19 June 2013
  • Firstpage
    4623
  • Lastpage
    4628
  • Abstract
    This paper provides two approaches to establish a proximity network among a collection of unmanned aerial vehicles (UAVs) that are initially scattered in space. The goal is to find the shortest trajectories that bring the UAVs to a connected formation where they are in the range of detection of one another and headed in the same direction to maintain the connectivity. Constant-speed unicycles are chosen to represent UAV kinematics flying steady around cruising speed. Pontryagin Minimum Principle (PMP) is used to determine the control law and path synthesis for the UAVs under the turn-rate constraints. We introduce an algorithm to search for the optimal solution when the final network topology is specified; followed by a nonlinear programming method in which the final configuration is emerged from the optimization routine under the constraints that the final topology is connected. Simulation results along with the discussion on the performance of both methods are provided.
  • Keywords
    aerodynamics; autonomous aerial vehicles; control system synthesis; maximum principle; nonlinear programming; path planning; robot kinematics; telerobotics; topology; trajectory control; PMP; Pontryagin minimum principle; UAV kinematics; constant-speed unicycle; control law; cruising speed; network topology; nonlinear programming method; optimal solution; optimal trajectory; optimization routine; path synthesis; proximity network; remote UAV; turn-rate constraints; unmanned aerial vehicles; Laplace equations; Matrix decomposition; Optimal control; Switches; Trajectory; Vectors; 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.2013.6580552
  • Filename
    6580552