• DocumentCode
    114395
  • Title

    Construction of an atlas for global flatness-based parameterization and dynamic feedback linearization of quadcopter dynamics

  • Author

    Dong Eui Chang ; Yongsoon Eun

  • Author_Institution
    Dept. of Appl. Math., Univ. of Waterloo, Waterloo, ON, Canada
  • fYear
    2014
  • fDate
    15-17 Dec. 2014
  • Firstpage
    686
  • Lastpage
    691
  • Abstract
    We provide a global framework for flatness-based motion planning and dynamic feedback linearization of the quadcopter dynamics. It allows us to avoid the singularity difficulty that comes from the use of the yaw angle in flat output construction and dynamic feedback linearization. We construct eight differentially flat charts the union of which covers the entire configuration space of the quadcopter dynamics so that we can do global motion planning without encountering any singularity. In each differentially flat chart we transform the 12-dimensional quadcopter system via dynamic feedback to a 14-dimensional linear controllable system, which makes tracking controller design straightforward, so that we can switch from one controller to another to track a globally planned trajectory. The central theme of this paper is the global approach to the quadcopter motion planning and tracking.
  • Keywords
    aircraft control; control system synthesis; feedback; helicopters; linear systems; linearisation techniques; path planning; 12-dimensional quadcopter system; 14-dimensional linear controllable system; atlas construction; configuration space; controller design tracking; differentially flat charts; dynamic feedback linearization; flat output construction; flatness-based motion planning; global flatness-based parameterization; global motion planning; globally planned trajectory; quadcopter dynamics; quadcopter motion planning; quadcopter motion tracking; yaw angle; Aerospace electronics; Dynamics; Planning; Tracking; Trajectory; Vehicle dynamics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-1-4799-7746-8
  • Type

    conf

  • DOI
    10.1109/CDC.2014.7039461
  • Filename
    7039461