• DocumentCode
    3435153
  • Title

    Model identification and control of a small-scale unmanned helicopter

  • Author

    Guanlin Wang ; Jihong Zhu ; Hui Xia

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China
  • fYear
    2011
  • fDate
    3-5 Aug. 2011
  • Firstpage
    933
  • Lastpage
    937
  • Abstract
    Modeling is the basis of flight control system for unmanned helicopters. In this paper, modes partition method and structure traversal (MPM/ST) method is applied to derive the dynamic models of a small-scale unmanned helicopter, and thereby afford improved accuracy for flight controller design. Increment proportional integral derivative (IPID) controller is applied to each channel to compose the core-dynamic controller, which is designed to follow the hover command of an outer-loop controller. The simulation results showed significant benefits of the proposed approach in flight-control design for unmanned helicopters.
  • Keywords
    aerospace control; helicopters; remotely operated vehicles; three-term control; IPID controller; MPM/ST method; flight control system; flight controller design; increment proportional integral derivative controller; model identification; modes partition method; outer-loop controller; small-scale unmanned helicopter; structure traversal method; Adaptation models; Aerodynamics; Attitude control; Data models; Helicopters; Robots; Rotors; flight control; model identification; unmanned helicopter; verification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Education (ICCSE), 2011 6th International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-9717-1
  • Type

    conf

  • DOI
    10.1109/ICCSE.2011.6028789
  • Filename
    6028789