• DocumentCode
    3092451
  • Title

    System identification for helicopter yaw dynamic modelling

  • Author

    Wang, Guanlin ; Zhu, Jihong ; Yang, Chengxu ; Xia, Hui

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China
  • Volume
    4
  • fYear
    2011
  • fDate
    11-13 March 2011
  • Firstpage
    54
  • Lastpage
    57
  • Abstract
    This paper presents a method to accurately identify the yaw-dynamic model of an unmanned helicopter. First, the model´s structure is established by dynamic analysis. Then the model is reconstructed into a combination of three second-order subsystems. As the distribution of the damp ratios and natural frequencies of a second-order subsystems is limited, the model can be accurately identified from real-flight-test data. Finally, experiments are carried out to identify the yaw dynamic model. Results shown the modeling accuracy is improved through this approach.
  • Keywords
    helicopters; identification; motion control; remotely operated vehicles; helicopter yaw dynamic modelling; system identification; three second-order subsystems; unmanned helicopter; Analytical models; Atmospheric modeling; Data models; Gallium; Helicopters; Mathematical model; System identification; Aerial Robotics; Dynamics; Genetic Algorithm; Helicopter; Model Identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Research and Development (ICCRD), 2011 3rd International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-61284-839-6
  • Type

    conf

  • DOI
    10.1109/ICCRD.2011.5763852
  • Filename
    5763852