• DocumentCode
    3532624
  • Title

    Simplifying quadrotor controllers by using simplified design models

  • Author

    Gonzalez-Sanchez, M. ; Amezquita-Brooks, L. ; Liceaga-Castro, E. ; del C Zambrano-Robledo, P.

  • Author_Institution
    FIME-CIIIA, Univ. Autonoma de Nuevo Leon, Apodaca, Mexico
  • fYear
    2013
  • fDate
    10-13 Dec. 2013
  • Firstpage
    4236
  • Lastpage
    4241
  • Abstract
    A series of design models for the quad-rotor vehicle (QRV) are presented. These design models include a full nonlinear model which contains the most relevant dynamics. This model uses a traditional aeronautical structure. This structure may not be the best for typical nonlinear control design, but it is useful for simulation and aeronautical variables evaluation. A second nonlinear model, shown to be equivalent to the previous one, is derived. This model complies with the typical state space structure used for most nonlinear control design methods. Therefore, by using this model it is possible to simplify the controller design task. A disadvantage is that both models are represented by a set of highly nonlinear differential equations and may complicate the design of simple control laws. Therefore, a simplified model which is almost linear is derived. This model is based on a linear approximation of the main QRV dynamics plus a simple nonlinear term arising due to the yaw motion. Through an extensive set of simulations, the operating range of the approximate model is elucidated. It is shown that this model is adequate for linear controller design for a very wide range of operation.
  • Keywords
    approximation theory; autonomous aerial vehicles; control system synthesis; helicopters; nonlinear control systems; nonlinear differential equations; QRV; aeronautical structure; linear approximation; nonlinear control design; nonlinear differential equations; quadrotor controllers; quadrotor vehicle; simplified design models; yaw motion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
  • Conference_Location
    Firenze
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-5714-2
  • Type

    conf

  • DOI
    10.1109/CDC.2013.6760540
  • Filename
    6760540