• DocumentCode
    2256612
  • Title

    Multivariable MRAC using Nussbaum gains for aircraft with abrupt damages

  • Author

    Liu, Yu ; Tao, Gang

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Virginia, Charlottesville, VA, USA
  • fYear
    2008
  • fDate
    9-11 Dec. 2008
  • Firstpage
    2600
  • Lastpage
    2605
  • Abstract
    This paper derives a stable multivariable model reference adaptive control (MRAC) scheme for systems with abrupt parameter variations (which may cause uncertain sign changes in the system¿s high frequency gain matrix), motivated by the application to in-flight aircraft systems with damages. Such sign changes are illustrated by an aircraft model with asymmetric abrupt damages, and their uncertainty is handled by a Nussbaum gain based adaptive control design to control the aircraft for both healthy and post-damage situations, by adapting controller parameters autonomously after the damages occur, for which the knowledge of time instants, structures and values of the damages is not required. A piecewise continuous Lyapunov function is utilized to prove the desired system stability and tracking properties in the presence of damages.
  • Keywords
    Lyapunov methods; aircraft; control system synthesis; model reference adaptive control systems; multivariable systems; Nussbaum gains; adaptive control design; in-flight aircraft systems; multivariable MRAC; multivariable model reference adaptive control scheme; piecewise continuous Lyapunov function; system stability; Adaptive control; Aerodynamics; Aerospace control; Aircraft propulsion; Frequency; Lyapunov method; Matrix decomposition; Neural networks; Nonlinear equations; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2008. CDC 2008. 47th IEEE Conference on
  • Conference_Location
    Cancun
  • ISSN
    0191-2216
  • Print_ISBN
    978-1-4244-3123-6
  • Electronic_ISBN
    0191-2216
  • Type

    conf

  • DOI
    10.1109/CDC.2008.4739463
  • Filename
    4739463