Feedback control of flow resonances using balanced reduced-order models

Simon J. Illingworth; Aimee S. Morgans; Clarence W. Rowley

doi:10.1016/j.jsv.2010.10.030

Feedback control of flow resonances using balanced reduced-order models

Simon J. Illingworth, Aimee S. Morgans, Clarence W. Rowley

Research output: Contribution to journal › Article › peer-review

44 Scopus citations

Abstract

This paper investigates the use of balanced reduced-order models for the feedback control of flow resonances. Specifically, the Eigensystem Realization Algorithm is used to find balanced reduced-order models of the linear dynamics of such flow resonances. The method is applied first to a computational problem in direct numerical simulations of cavity resonances, and then to a lab-scale experiment of combustion oscillations. Although the resulting reduced-order models both have fewer than 10 degrees of freedom, the feedback controllers that are based on them perform very well, with closed-loop stability achieved over a wide range of operating conditions.

Original language	English (US)
Pages (from-to)	1567-1581
Number of pages	15
Journal	Journal of Sound and Vibration
Volume	330
Issue number	8
DOIs	https://doi.org/10.1016/j.jsv.2010.10.030
State	Published - Apr 11 2011

All Science Journal Classification (ASJC) codes

Condensed Matter Physics
Mechanics of Materials
Mechanical Engineering
Acoustics and Ultrasonics

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10.1016/j.jsv.2010.10.030

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title = "Feedback control of flow resonances using balanced reduced-order models",

abstract = "This paper investigates the use of balanced reduced-order models for the feedback control of flow resonances. Specifically, the Eigensystem Realization Algorithm is used to find balanced reduced-order models of the linear dynamics of such flow resonances. The method is applied first to a computational problem in direct numerical simulations of cavity resonances, and then to a lab-scale experiment of combustion oscillations. Although the resulting reduced-order models both have fewer than 10 degrees of freedom, the feedback controllers that are based on them perform very well, with closed-loop stability achieved over a wide range of operating conditions.",

author = "Illingworth, {Simon J.} and Morgans, {Aimee S.} and Rowley, {Clarence W.}",

note = "Funding Information: S.J. Illingworth gratefully acknowledges financial support from the Engineering and Physical Sciences Research Council (EPSRC) and Rolls-Royce plc . A.S. Morgans gratefully acknowledges the Royal Academy of Engineering and the EPSRC, who supported her as a Research Fellow throughout this work. ",

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AU - Illingworth, Simon J.

AU - Morgans, Aimee S.

AU - Rowley, Clarence W.

N1 - Funding Information: S.J. Illingworth gratefully acknowledges financial support from the Engineering and Physical Sciences Research Council (EPSRC) and Rolls-Royce plc . A.S. Morgans gratefully acknowledges the Royal Academy of Engineering and the EPSRC, who supported her as a Research Fellow throughout this work.

PY - 2011/4/11

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AB - This paper investigates the use of balanced reduced-order models for the feedback control of flow resonances. Specifically, the Eigensystem Realization Algorithm is used to find balanced reduced-order models of the linear dynamics of such flow resonances. The method is applied first to a computational problem in direct numerical simulations of cavity resonances, and then to a lab-scale experiment of combustion oscillations. Although the resulting reduced-order models both have fewer than 10 degrees of freedom, the feedback controllers that are based on them perform very well, with closed-loop stability achieved over a wide range of operating conditions.

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Feedback control of flow resonances using balanced reduced-order models

Abstract

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