• DocumentCode
    2460269
  • Title

    Path planning for multiple unmanned aerial vehicles by parameterized cornu-spirals

  • Author

    Dai, Ran ; Cochran, John E., Jr.

  • Author_Institution
    Dynamics Res. Inc., Torrance, CA, USA
  • fYear
    2009
  • fDate
    10-12 June 2009
  • Firstpage
    2391
  • Lastpage
    2396
  • Abstract
    In this paper, a group of cooperative planning paths for simultaneous starting and arriving Unmanned Aerial Vehicles (UAVs) are generated by parameterized Cornu-Spirals (CSs). The continuity and smoothness requirements for the designed flyable paths are achieved by the continuous curvature characteristics of CSs. The final curves are minimized in length with the least number of parameters representing the polynomial expression of the path curvature, while satisfying the maximum curvature constraints, equal length constraints, and collision avoidance constraints. The paths are integrated from initial points to final points by a trapezoidal integration algorithm. A nonlinear programming solver is used to calculate the optimized parameters. Simulation results for four simultaneous UAV paths are presented with designated initial and final positions and attitudes.
  • Keywords
    aircraft; collision avoidance; cooperative systems; curve fitting; nonlinear programming; remotely operated vehicles; collision avoidance constraints; continuous curvature characteristics; cooperative planning paths; designed flyable paths; equal length constraints; maximum curvature constraints; multiple unmanned aerial vehicles; nonlinear programming solver; optimized parameters; parameterized Cornu-Spirals; path curvature; path planning; polynomial expression; trapezoidal integration algorithm; Cascading style sheets; Iterative algorithms; Path planning; Polynomials; Radio access networks; Road transportation; Robots; Shape control; Unmanned aerial vehicles; Vehicle dynamics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2009. ACC '09.
  • Conference_Location
    St. Louis, MO
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4244-4523-3
  • Electronic_ISBN
    0743-1619
  • Type

    conf

  • DOI
    10.1109/ACC.2009.5159914
  • Filename
    5159914