WELLER, Jessie; LOMBARDI, Edoardo; IOLLO, Angelo

Metadatos

Mostrar el registro completo del ítem

Licencia de uso del documento

WELLER, Jessie
Institut de Mathématiques de Bordeaux [IMB]
Modélisation, contrôle et calcul [MC2]

LOMBARDI, Edoardo
Institut de Mathématiques de Bordeaux [IMB]
Modélisation, contrôle et calcul [MC2]

IOLLO, Angelo
Institut de Mathématiques de Bordeaux [IMB]
Modélisation, contrôle et calcul [MC2]

Idioma

Rapport

Este ítem está publicado en

2008

Resumen en inglés

We present a low-order modeling technique for actuated flows based on the regularization of an inverse problem. The inverse problem aims at minimizing the error between the model predictions and some reference simulations. The parameters to be identified are a subset of the coefficients of a polynomial expansion which models the temporal dynamics of a small number of global modes. These global modes are found by Proper Orthogonal Decomposition, which is a method to compute the most representative elements of an existing simulation database in terms of energy. It is shown that low-order control models based on a simple Galerkin projection and usual calibration techniques are not viable. They are either ill-posed or they give a poor approximation of the solution as soon as they are used to predict cases not belonging to the original solution database. In contrast, numerical evidence shows that the method we propose is robust with respect to variations of the control laws applied, thus allowing the actual use of such models for control.< Leer menos

Palabras clave en inglés

reduced order models

control

inverse problems

Orígen

Importado de Hal

Centros de investigación

Institut de Mathématiques de Bordeaux (IMB) - UMR 5251