• DocumentCode
    439101
  • Title

    Receding horizon implementation of MILP for vehicle guidance

  • Author

    Kuwata, Yoshiaki ; How, Jonathan

  • Author_Institution
    Dept. of Aeronaut. & Astronaut., MIT, Cambridge, MA, USA
  • fYear
    2005
  • fDate
    8-10 June 2005
  • Firstpage
    2684
  • Abstract
    This paper presents MILP based techniques for trajectory optimization of unmanned aerial vehicles. To reduce the computation load associated with MILP optimization, a receding horizon controller has been developed. The combination of coarse cost map and detailed short trajectory significantly reduces the size of the MILP optimization. Several extensions that further reduce computation time and expand the capabilities of RH-MILP are presented.
  • Keywords
    aircraft control; integer programming; linear programming; position control; predictive control; remotely operated vehicles; MILP; mixed integer linear programming; receding horizon controller; receding horizon implementation; trajectory optimization; unmanned aerial vehicles; vehicle guidance; Acceleration; Aerodynamics; Aircraft; Cost function; Design optimization; Navigation; Phase estimation; Trajectory; Vehicle dynamics; Velocity control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2005. Proceedings of the 2005
  • ISSN
    0743-1619
  • Print_ISBN
    0-7803-9098-9
  • Electronic_ISBN
    0743-1619
  • Type

    conf

  • DOI
    10.1109/ACC.2005.1470373
  • Filename
    1470373