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Détail de l'auteur
Auteur Cosku Kasnakoglu
Documents disponibles écrits par cet auteur
Affiner la rechercheReduced-Order model-based feedback control of flow over an obstacle using center manifold methods / Cosku Kasnakoglu in Transactions of the ASME . Journal of dynamic systems, measurement, and control, Vol. 131 N°1 (Janvier/Février 2009)
[article]
in Transactions of the ASME . Journal of dynamic systems, measurement, and control > Vol. 131 N°1 (Janvier/Février 2009) . - 12 p.
Titre : Reduced-Order model-based feedback control of flow over an obstacle using center manifold methods Type de document : texte imprimé Auteurs : Cosku Kasnakoglu, Auteur ; R. Chris Camphouse, Auteur ; Serrani, Andrea, Auteur Année de publication : 2009 Article en page(s) : 12 p. Note générale : dynamic systems Langues : Anglais (eng) Mots-clés : dynamics (mechanics); flow (dynamics); control equipment; design; modeling; optimization; equations; errors; feedback; manifolds Résumé : In this paper, we consider a boundary control problem governed by the two-dimensional Burgers’ equation for a configuration describing convective flow over an obstacle. Flows over obstacles are important as they arise in many practical applications. Burgers’ equations are also significant as they represent a simpler form of the more general Navier–Stokes momentum equation describing fluid flow. The aim of the work is to develop a reduced-order boundary control-oriented model for the system with subsequent nonlinear control law design. The control objective is to drive the full order system to a desired 2D profile. Reduced-order modeling involves the application of an L2 optimization based actuation mode expansion technique for input separation, demonstrating how one can obtain a reduced-order Galerkin model in which the control inputs appear as explicit terms. Controller design is based on averaging and center manifold techniques and is validated with full order numerical simulation. Closed-loop results are compared to a standard linear quadratic regulator design based on a linearization of the reduced-order model. The averaging∕center manifold based controller design provides smoother response with less control effort and smaller tracking error. DEWEY : 629.8 ISSN : 0022-0434 En ligne : dynamicsystems.asmedigitalcollection.asme.org/issue.aspx?journalid=117&issueid=2 [...] [article] Reduced-Order model-based feedback control of flow over an obstacle using center manifold methods [texte imprimé] / Cosku Kasnakoglu, Auteur ; R. Chris Camphouse, Auteur ; Serrani, Andrea, Auteur . - 2009 . - 12 p.
dynamic systems
Langues : Anglais (eng)
in Transactions of the ASME . Journal of dynamic systems, measurement, and control > Vol. 131 N°1 (Janvier/Février 2009) . - 12 p.
Mots-clés : dynamics (mechanics); flow (dynamics); control equipment; design; modeling; optimization; equations; errors; feedback; manifolds Résumé : In this paper, we consider a boundary control problem governed by the two-dimensional Burgers’ equation for a configuration describing convective flow over an obstacle. Flows over obstacles are important as they arise in many practical applications. Burgers’ equations are also significant as they represent a simpler form of the more general Navier–Stokes momentum equation describing fluid flow. The aim of the work is to develop a reduced-order boundary control-oriented model for the system with subsequent nonlinear control law design. The control objective is to drive the full order system to a desired 2D profile. Reduced-order modeling involves the application of an L2 optimization based actuation mode expansion technique for input separation, demonstrating how one can obtain a reduced-order Galerkin model in which the control inputs appear as explicit terms. Controller design is based on averaging and center manifold techniques and is validated with full order numerical simulation. Closed-loop results are compared to a standard linear quadratic regulator design based on a linearization of the reduced-order model. The averaging∕center manifold based controller design provides smoother response with less control effort and smaller tracking error. DEWEY : 629.8 ISSN : 0022-0434 En ligne : dynamicsystems.asmedigitalcollection.asme.org/issue.aspx?journalid=117&issueid=2 [...]