• DocumentCode
    3110727
  • Title

    Model identification of a small-scale air vehicle for loitering control design

  • Author

    Wu, Huaiyu ; Sun, Dong ; Zhou, Zhaoying ; Xiong, Shenshu

  • Author_Institution
    Dept. of Autom., Wuhan Univ. of Sci. & Technol., China
  • Volume
    4
  • fYear
    2004
  • fDate
    April 26-May 1, 2004
  • Firstpage
    4035
  • Abstract
    This paper aims to investigate theoretically and experimentally the dynamic behaviors of the pitch and roll motions of a small-scale unmanned air vehicle in loitering flight. Two fourth-order ARX (AutoRegressive with eXogenous input) models are successfully identified, and the performance analysis is carried out based on the flight test data. The validity of the identified model is verified by both time domain model prediction and frequency domain spectral analysis. With the proposed ARX models, two compensators are further designed using a frequency technique to improve the transient performance of the pitch and roll control channels. Simulations and experiments demonstrate that the proposed ARX model-based compensation control design strategy can improve the flight performance.
  • Keywords
    aerodynamics; aerospace testing; aircraft control; autoregressive processes; compensation; frequency-domain analysis; identification; time-domain analysis; aerospace testing; compensation; flight test data; fourth order autoregressive exogenous input models; frequency domain spectral analysis; loitering control design; loitering flight; model identification; performance analysis; pitch; roll control channels; roll motions; small scale unmanned air vehicle; time domain model; Aerospace simulation; Control design; Frequency domain analysis; Performance analysis; Predictive models; Spectral analysis; Testing; Time domain analysis; Unmanned aerial vehicles; Vehicle dynamics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2004. Proceedings. ICRA '04. 2004 IEEE International Conference on
  • ISSN
    1050-4729
  • Print_ISBN
    0-7803-8232-3
  • Type

    conf

  • DOI
    10.1109/ROBOT.2004.1308902
  • Filename
    1308902