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
fDate :
June 30 2010-July 2 2010
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;
Conference_Titel :
American Control Conference (ACC), 2010
Conference_Location :
Baltimore, MD
Print_ISBN :
978-1-4244-7426-4
DOI :
10.1109/ACC.2010.5531278
