• DocumentCode
    3289076
  • Title

    Low-order nonlinear models for active flow control of a low L/D inlet duct

  • Author

    Xiaoqing Ge ; Gressick, W. ; Wen, J.T. ; Sahni, O. ; Jansen, K.E.

  • Author_Institution
    Dept. of Electr., Comput., & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA
  • fYear
    2010
  • fDate
    June 30 2010-July 2 2010
  • Firstpage
    2989
  • Lastpage
    2994
  • Abstract
    This paper investigates the methodology to develop low-order nonlinear state space models for flow response along the centerline of a very aggressive (length to exit diameter ratio, L/D, of 1.5) inlet duct. Reduced order models are constructed by using Numerical Algorithms for State Space Subspace System Identification (N4SID), based on 2D numerical flow simulation data. The identified models successfully predict the spatially-averaged pressure recovery along the centerline at the Aerodynamic Interface Plane (AIP) for different levels of actuation of the control jets. Based on the identified models, estimator design and sensor placement are performed.
  • Keywords
    flow control; flow simulation; jets; nonlinear control systems; pipe flow; reduced order systems; state estimation; state-space methods; 2D numerical flow simulation data; active flow control; aerodynamic interface plane; control jet actuation; estimator design; flow response; length-exit diameter ratio; low L/D inlet duct; low-order nonlinear model; numerical algorithm; reduced order model; sensor placement; spatially-averaged pressure recovery; state space model; state space subspace system identification; Aerodynamics; Aerospace control; Aircraft; Control systems; Ducts; Engines; Open loop systems; Pressure control; Shape control; State-space methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2010
  • Conference_Location
    Baltimore, MD
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4244-7426-4
  • Type

    conf

  • DOI
    10.1109/ACC.2010.5531278
  • Filename
    5531278