Feedback control of flow resonances using balanced reduced-order models

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 computation...

Full description

Saved in:
Bibliographic Details
Published in:Journal of sound and vibration 2011-04, Vol.330 (8), p.1567-1581
Main Authors: Illingworth, Simon J., Morgans, Aimee S., Rowley, Clarence W.
Format: Article
Language:English
Subjects:
Acoustics
Aeroacoustics, atmospheric sound
Algorithms
Applied sciences
Balancing
Combustion
Combustion. Flame
Energy
Energy. Thermal use of fuels
Exact sciences and technology
Feedback
Feedback control
Flow control
Fluid dynamics
Fundamental areas of phenomenology (including applications)
Mathematical models
Oscillations
Physics
Theoretical studies. Data and constants. Metering
Vibration
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:0022-460X
1095-8568
DOI:10.1016/j.jsv.2010.10.030