• DocumentCode
    1708787
  • Title

    Design of a gust-attenuation controller for landing operations of Unmanned Autonomous Helicopters

  • Author

    Yang, Xilin ; Pota, Hemanshu ; Garratt, Matt

  • Author_Institution
    Sch. of Inf. Technol. & Electr. Eng., Univ. of New South Wales, Canberra, ACT, Australia
  • fYear
    2009
  • Firstpage
    1300
  • Lastpage
    1305
  • Abstract
    This paper presents an innovative and practical approach to controlling heave motion in the presence of acute stochastic atmospheric disturbances during landing operations of an unmanned autonomous helicopter (UAH). A heave motion model of an UAH is constructed for the purpose of capturing dynamic variations of thrust due to horizontal wind gusts. Additionally, through construction of an effective gust estimator, a promising and feasible feedback-feedforward proportional differential (PD) controller is developed, based on available measurements from onboard equipment. The controller dynamically and synchronously compensates for aerodynamic variations of heave motion resulting from gust influence, to increase the disturbance-attenuation ability of the UAH in a windy environment. Simulation results justify the reliability and efficiency of the suggested gust estimator when applied to the heave motion model of a small unmanned helicopter, and verify suitability of the recommended control strategy to realistic environmental conditions.
  • Keywords
    PD control; control system synthesis; feedback; feedforward; helicopters; remotely operated vehicles; stochastic systems; vehicle dynamics; PD control; feedback-feedforward proportional differential controller; gust-attenuation controller design; landing operations; stochastic atmospheric disturbances; unmanned autonomous helicopters; Aerodynamics; Aircraft; Control systems; Helicopters; Marine vehicles; Motion control; Motion estimation; Robust control; Sliding mode control; Wind;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Applications, (CCA) & Intelligent Control, (ISIC), 2009 IEEE
  • Conference_Location
    St. Petersburg
  • Print_ISBN
    978-1-4244-4601-8
  • Electronic_ISBN
    978-1-4244-4602-5
  • Type

    conf

  • DOI
    10.1109/CCA.2009.5281074
  • Filename
    5281074