Title :
LQG control of a CFD-based aeroelastic wing model
Author :
Choi, Sang Bum ; Xu, Haojian ; Mirmirani, Maj Dean
Author_Institution :
Multidisciplinary Flight Dynamics & Control Lab., California State Univ., Los Angeles, CA, USA
Abstract :
This paper presents a linear quadratic Gaussian (LQG) algorithm for suppression of flutter in an aeroelastic wing. CFD-based input output data and autoregressive moving average identification method were employed to develop a state space model for aerodynamic forces. A finite element model of the wing was constructed to obtain the flexible modes and a second set of linear state space equations representing the structural dynamics of the wing. The outputs of the coupled aeroelastic model, pitch, plunge, and the movement of the control surface at the trailing edge of the wing were used to design a combined state estimator and a linear quadratic regulator. Simulation results presented validates the effectiveness of the controller to suppress flutter induced by increasing dynamic pressure.
Keywords :
aerospace control; autoregressive moving average processes; computational fluid dynamics; finite element analysis; linear quadratic Gaussian control; state estimation; state-space methods; CFD based aeroelastic wing model; LQG algorithm; LQG control; aerodynamic forces; autoregressive moving average identification method; computational fluid dynamics; coupled aeroelastic model; dynamic pressure; finite element model; flutter suppression; linear quadratic Gaussian algorithm; linear quadratic Gaussian control; linear quadratic regulator; linear state space equations; state estimator; state space model; wings trailing edge; Aerodynamics; Aircraft; Automotive components; Computational fluid dynamics; Control design; Equations; Regulators; Shape; State-space methods; Vehicle dynamics;
Conference_Titel :
Decision and Control, 2003. Proceedings. 42nd IEEE Conference on
Print_ISBN :
0-7803-7924-1
DOI :
10.1109/CDC.2003.1272404