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|Title:||Flutter-boundary prediction using system identification-based reduced-order aeroelasticity analysis|
|Authors:||Lai, K.L. |
|Citation:||Lai, K.L.,Lum, K.-Y. (2012). Flutter-boundary prediction using system identification-based reduced-order aeroelasticity analysis. Collection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference : -. ScholarBank@NUS Repository.|
|Abstract:||The paper is concerned with the prediction of flutterboundary using computational aeroelastic techniques and system identification-based reduced-order aeroelasticity analysis. The method consists in constructing a continuous time state-space model of the closed-loop aeroelastic system using numerical simulation results, and followed by performing eigenvalue analysis of the resulting state-space model to determine the flutterboundary. The work presented here is developed based upon our previous work. In the present paper, we consider CFD data for the training of ROM and nonlinear flutterdynamics represented by a Hammerstein model comprising a cubic static nonlinearity followed by a matrix ARMA linear block, and develop the correlation least-squares method of identification. Prediction of the flutterboundary of the AGARD 445.6 wing by eigenvalue analysis yields results that are very close to experimentally obtained flutterparameters, and are an improvement over method based on only linear models. ©2012 AIAA.|
|Source Title:||Collection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference|
|Appears in Collections:||Staff Publications|
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