• DocumentCode
    622670
  • Title

    A multivariable adaptive reconfigurable control method applied to the wing damaged aircraft

  • Author

    Wang Yao ; Yang Lingyu ; Zhang Jing ; Shen Gongzhang

  • Author_Institution
    Sci. & Technol. on Aircraft Control Lab., Beihang Univ., Beijing, China
  • fYear
    2013
  • fDate
    12-14 June 2013
  • Firstpage
    1828
  • Lastpage
    1833
  • Abstract
    Focusing on the abrupt parameter variation of the aircraft dynamic characteristics brought by the wing damage, a multivariable adaptive reconfigurable control method has been studied. First the nonlinear 6DOF model of structural damaged aircraft is presented. The linearization process and the coupling between the longitudinal and lateral dynamics are studied, and the damaged aircraft dynamic model is denoted as a linear form with uncertain variations. And then the Multivariable Model Reference Adaptive Control (M-MRAC) method is introduced to compensate the abrupt variations in the state matrix, control matrix and the constant uncertainty. Finally NASA Generic Transport Model (GTM) is taken as an example and a typical case of left wing tip with 15% damage is considered. Three-channel attitude simulations are presented through comparing with PID control method. The results illustrate that the impact due to the parameter variations are significantly reduced, and the output tracks the desired trajectories rapidly and stably under uncertain damage.
  • Keywords
    aerodynamics; aerospace components; aircraft control; attitude control; fracture; matrix algebra; model reference adaptive control systems; multivariable control systems; nonlinear control systems; three-term control; vehicle dynamics; GTM; M-MRAC method; NASA generic transport model; PID control method; abrupt parameter variation; abrupt variations; aircraft dynamic characteristics; constant uncertainty; control matrix; damaged aircraft dynamic model; lateral dynamics; left wing tip; linearization process; longitudinal dynamics; multivariable adaptive reconfigurable control method; multivariable model reference adaptive control method; nonlinear 6DOF model; parameter variations; state matrix; structural damaged aircraft; three-channel attitude simulations; uncertain variations; wing damaged aircraft; Adaptation models; Aerodynamics; Aerospace control; Aircraft; Atmospheric modeling; Equations; Mathematical model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Automation (ICCA), 2013 10th IEEE International Conference on
  • Conference_Location
    Hangzhou
  • ISSN
    1948-3449
  • Print_ISBN
    978-1-4673-4707-5
  • Type

    conf

  • DOI
    10.1109/ICCA.2013.6565141
  • Filename
    6565141