• DocumentCode
    176057
  • Title

    Asymptotic behavior of sampling zero dynamics for a 3-DOF tandem-rotor model helicopter

  • Author

    Shan Liang ; Cheng Zeng ; Jiaqi Zhong ; Yongsheng Sun

  • Author_Institution
    Coll. of Autom., Chongqing Univ., Chongqing, China
  • fYear
    2014
  • fDate
    May 31 2014-June 2 2014
  • Firstpage
    1957
  • Lastpage
    1962
  • Abstract
    This paper derives an approximate discrete-time model for a nonlinear 3-DOF (degree-of-freedom) tandem-rotor model helicopter in the case of the multirate input and hold, which is accurate to some order in the sampling period. More importantly, the proposed model has more accurate than the classic Euler approximation. We also show how a particular strategy can be used to approximate the system outputs and its derivatives in such a way as to obtain a local truncation errors, between the outputs of the resulting sampled-data model and the true continuous-time system outputs, of order T5, where T is the sampling period. An insight interpretation of the obtained sampled-data model can be made in terms of sampling zero dynamics, and their explicit characterization are also given. Moreover, we show a condition which assures the stability of the sampling zero dynamics for the resulting model helicopter.
  • Keywords
    aircraft control; asymptotic stability; continuous time systems; discrete time systems; helicopters; nonlinear control systems; rotors; sampled data systems; zero assignment; 3-degree-of-freedom tandem-rotor model helicopter; approximate discrete-time model; asymptotic behavior; continuous-time system outputs; local truncation errors; nonlinear 3-DOF tandem-rotor model helicopter; sampled-data model; sampling period; sampling zero dynamics; stability; Control systems; Educational institutions; Finite wordlength effects; Helicopters; Mathematical model; Nonlinear dynamical systems; 3-DOF tandem-rotor helicopter; Asymptotic Behavior; Sampling Zero dynamics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (2014 CCDC), The 26th Chinese
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4799-3707-3
  • Type

    conf

  • DOI
    10.1109/CCDC.2014.6852490
  • Filename
    6852490