• DocumentCode
    1735961
  • Title

    Attitude dynamics modeling of a small-scale unmanned helicopter

  • Author

    Pan, Yue ; Song, Ping ; Li, Kejie ; Wang, Yun ; Wang, Xiaoyue

  • Author_Institution
    Intell. Robot. Inst., Beijing Inst. of Technol., Beijing, China
  • fYear
    2012
  • Firstpage
    84
  • Lastpage
    88
  • Abstract
    The attitude dynamics model is the basis for attitude control and the attitude model is very complex because the small-scale unmanned helicopter is a multivariable, nonlinear, time-varying, strong-coupling system. To reduce the complexity of the attitude model, a simplified attitude dynamics model for small-scale unmanned helicopter in hover or low speed forward flight was presented. Firstly, the linear model with unknown parameters was determined by first-principle approach and small perturbation theory. Secondly, the PEM system identification approach was used to identify the parameters of the model. The validity of the attitude model was verified using experimental data obtained in real flight. The validation results showed the effectiveness and high accuracy of the modeling method. The attitude modeling method combines the advantages of first-principle method and system identification method. The model has simple structure, it is easy to implement and can be conveniently applied in other unmanned aerial vehicles.
  • Keywords
    attitude control; autonomous aerial vehicles; mobile robots; telerobotics; attitude control; attitude dynamics modeling; small perturbation theory; small scale unmanned helicopter; unknown parameters; unmanned aerial vehicles; Aerodynamics; Data models; Equations; Helicopters; Mathematical model; Rotors; System identification; Attitude model; First-principle; Parameter estimation; Small-scale unmanned helicopter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control, Automatic Detection and High-End Equipment (ICADE), 2012 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-1331-5
  • Type

    conf

  • DOI
    10.1109/ICADE.2012.6330104
  • Filename
    6330104