• DocumentCode
    1775201
  • Title

    Robust guidance law design for UAVs

  • Author

    Yung-Yue Chen ; Yen-Lung Chen ; Bo-Hui Zhou

  • Author_Institution
    Dept. of Syst. & Naval Mechatron. Eng., Cheng Kung Univ., Tainan, Taiwan
  • fYear
    2014
  • fDate
    18-20 June 2014
  • Firstpage
    44
  • Lastpage
    49
  • Abstract
    This paper presents an advanced guidance law which is based on robust feedback linearization (RFL) concepts and design procedures for autonomous pursuit of predefined waypoints for unmanned aerial vehicles (UAVs) in the three-dimensional (3D) area. In this investigation, a nonlinear 3D model of UAV considered wind gust disturbances is used for realizing realistic flight maneuvers. In this investigation, the overall error dynamics between the guided UAV and tracked waypoints can be proven as being stability in absence of external disturbances, and all effects of the external disturbances, such as wind gust will be proven to be attenuated below a certain of attenuation level if they are taken into consideration. Besides, a viewable lab-based simulator is developed for the above guided UAV is built up by MATLAB software; it´s capable of simulating both homogeneous and heterogeneous characteristics of the engaging air vehicles. Finally, tracking performances between the proposed robust guidance law and the feedback linearization based guidance law are demonstrated the by comparison results.
  • Keywords
    aircraft control; autonomous aerial vehicles; control engineering computing; control system synthesis; feedback; mathematics computing; robust control; MATLAB software; RFL; UAVs; error dynamics; flight maneuvers; robust feedback linearization; robust guidance law design; unmanned aerial vehicles; wind gust disturbances; Aerodynamics; Attenuation; History; Mathematical model; Robustness; Three-dimensional displays; Trajectory; UAV; feedback linearization; robust control design; trajectory tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control & Automation (ICCA), 11th IEEE International Conference on
  • Conference_Location
    Taichung
  • Type

    conf

  • DOI
    10.1109/ICCA.2014.6870893
  • Filename
    6870893