• DocumentCode
    3132134
  • Title

    Application of L1 Adaptive Control Augmentation to the Flying Wing Unmanned Aerial Vehicle

  • Author

    Gao, Li ; Wu, Wenhai ; Zhou, Siyu

  • Author_Institution
    Naval Aeronaut. Eng. Inst., Qingdao, China
  • fYear
    2011
  • fDate
    8-9 Oct. 2011
  • Firstpage
    222
  • Lastpage
    225
  • Abstract
    In this paper we use L1 adaptive controller to augment a baseline for improved angle of attack command tracking of a flying wing aircraft linear model. The design procedure included baseline and adaptive augmentation controllers design. Linear quadratic regulator (LQR) controller was designed for the nominal case, and then was augmented with a L1 adaptive controller. The L1 adaptive control methodology offered an adaptive contributor to prevent high-frequency oscillations in the control signal. The simulation results demonstrate the fast adaptation scheme can improve transient command tracking performance, even in the presence of parametric uncertainties, and time-varying disturbances. The proposed adaptive systematic framework has satisfactory performance both in transient and steady state, as well as error signals remain bounded.
  • Keywords
    adaptive control; aircraft control; autonomous aerial vehicles; control system synthesis; linear quadratic control; uncertain systems; L1 adaptive control augmentation; LQR controller; adaptive augmentation controller design; angle-of-attack command tracking; flying wing aircraft linear model; high-frequency oscillation; linear quadratic regulator; parametric uncertainty; time-varying disturbance; transient command tracking performance; unmanned aerial vehicle; Adaptation models; Adaptive control; Aerospace control; Aircraft; Atmospheric modeling; Uncertainty; L1 adaptive control; flight control systems; linear quadratic regulator; unmanned aerial vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Acquisition and Modeling (KAM), 2011 Fourth International Symposium on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4577-1788-8
  • Type

    conf

  • DOI
    10.1109/KAM.2011.66
  • Filename
    6137620