• DocumentCode
    1794866
  • Title

    Monte Carlo approach to the analysis of UAVs control system

  • Author

    Ou Chaojie ; Jiang Ju ; Wang Hongxin ; Zhen Ziyang

  • Author_Institution
    Coll. of Autom. Eng., NUAA, Nanjing, China
  • fYear
    2014
  • fDate
    8-10 Aug. 2014
  • Firstpage
    458
  • Lastpage
    462
  • Abstract
    Several nonlinear control theories have been implied in UAVs control system, although all of those control system can achieve control objects and satisfy control requirement, the robustness of those system is unknown. This paper introduces Monte Carlo approach which is a statistical method to the study of UAVs control system´s robustness. Disturbances which are worthy to consider and detailed process are presented. And Simulation results show that, considering atmospheric turbulence and sensors noises, Monte Carlo approach is a proper tool in the analysis of the robustness of UAVs formation control system.
  • Keywords
    Monte Carlo methods; autonomous aerial vehicles; nonlinear control systems; position control; Monte Carlo approach; UAV control system; atmospheric turbulence; nonlinear control theories; sensor noises; statistical method; unmanned aerial vehicle; Atmospheric modeling; Monte Carlo methods; Multi-agent systems; Robustness; Steady-state; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Guidance, Navigation and Control Conference (CGNCC), 2014 IEEE Chinese
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4799-4700-3
  • Type

    conf

  • DOI
    10.1109/CGNCC.2014.7007267
  • Filename
    7007267