• DocumentCode
    630521
  • Title

    Nonlinear control of a dual-quadrotor assembly

  • Author

    Dzaba, Anthony ; Schuster, Eugenio

  • Author_Institution
    Dept. of Mech. Eng., Lehigh Univ., Bethlehem, PA, USA
  • fYear
    2013
  • fDate
    17-19 June 2013
  • Firstpage
    223
  • Lastpage
    228
  • Abstract
    In response to the need for accurate position sensing in unmanned aerial vehicles (UAVs), we propose a concept aircraft in the form of a mobile global vision system. The dual-quad prototype resembles a miniature quadrotor nesting within a larger quadrotor. Inspired by the gaze stabilization abilities of hunting birds, the inner quadrotor is used as an actively stabilized sensor deck, while the outer quadrotor is used as a position-control flight deck. The sensor deck is stabilized to impose motion constraints on the visual odometry problem. This reduces the computational expense of implementing a vision system on a UAV where resources are limited. We propose a combination of feedback linearization, nonlinear transformation, and backstepping control. Results for aggressive flight maneuvers are demonstrated in simulation.
  • Keywords
    aircraft control; autonomous aerial vehicles; motion control; nonlinear control systems; position control; robot vision; stability; UAV; actively stabilized sensor deck; aircraft; backstepping control; dual-quadrotor assembly; feedback linearization; flight maneuver; gaze stabilization; hunting bird; miniature quadrotor; mobile global vision system; motion constraint; nonlinear control; nonlinear transformation; position-control flight deck; unmanned aerial vehicle; visual odometry problem; Attitude control; Backstepping; Equations; Machine vision; Radio frequency; Tracking; Trajectory;
  • 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.2013.6579841
  • Filename
    6579841