Feedback control of cavity flow using experimental based reduced order model

E. Caraballo, X. Yuan, Jesse C Little, M. Debiasi, P. Yan, A. Serrani, J. H. Myatt, M. Samimy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

We present preliminary results on subsonic cavity flow control using reduced-order model based feedback control derived from experimental measurements. The reduced-order model was developed using the Proper Orthogonal Decomposition of PIV results in conjunction with the Galerkin projection of the Navier-Stokes equations onto the resulting spatial eigenfunctions. The stochastic estimation method was used for real-time estimate of the model time coefficients from dynamic surface pressure measurements. Equilibrium analysis led to the linearization of the reduced-order model around the equilibrium point and a model for controller design was obtained by shifting the origin of the coordinates to the equilibrium point. A linear-quadratic optimal controller was then designed and tested in the experiments. The results obtained are very promising and show that control is capable of reducing the cavity flow resonance not only at the Mach 0.3 flow, for which the reducedorder model was specifically derived, but also at other flows with some variation of the Mach number. These preliminary results indicate that the control switches the flow from a single mode resonance to a multi-mode resonance.

Original languageEnglish (US)
Title of host publication35th AIAA Fluid Dynamics Conference and Exhibit
StatePublished - 2005
Externally publishedYes
Event35th AIAA Fluid Dynamics Conference and Exhibit - Toronto, ON, Canada
Duration: Jun 6 2005Jun 9 2005

Other

Other35th AIAA Fluid Dynamics Conference and Exhibit
CountryCanada
CityToronto, ON
Period6/6/056/9/05

Fingerprint

Feedback control
Mach number
Controllers
Surface measurement
Pressure measurement
Linearization
Flow control
Eigenvalues and eigenfunctions
Navier Stokes equations
Switches
Decomposition
Experiments

ASJC Scopus subject areas

  • Engineering (miscellaneous)
  • Aerospace Engineering

Cite this

Caraballo, E., Yuan, X., Little, J. C., Debiasi, M., Yan, P., Serrani, A., ... Samimy, M. (2005). Feedback control of cavity flow using experimental based reduced order model. In 35th AIAA Fluid Dynamics Conference and Exhibit

Feedback control of cavity flow using experimental based reduced order model. / Caraballo, E.; Yuan, X.; Little, Jesse C; Debiasi, M.; Yan, P.; Serrani, A.; Myatt, J. H.; Samimy, M.

35th AIAA Fluid Dynamics Conference and Exhibit. 2005.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Caraballo, E, Yuan, X, Little, JC, Debiasi, M, Yan, P, Serrani, A, Myatt, JH & Samimy, M 2005, Feedback control of cavity flow using experimental based reduced order model. in 35th AIAA Fluid Dynamics Conference and Exhibit. 35th AIAA Fluid Dynamics Conference and Exhibit, Toronto, ON, Canada, 6/6/05.
Caraballo E, Yuan X, Little JC, Debiasi M, Yan P, Serrani A et al. Feedback control of cavity flow using experimental based reduced order model. In 35th AIAA Fluid Dynamics Conference and Exhibit. 2005
Caraballo, E. ; Yuan, X. ; Little, Jesse C ; Debiasi, M. ; Yan, P. ; Serrani, A. ; Myatt, J. H. ; Samimy, M. / Feedback control of cavity flow using experimental based reduced order model. 35th AIAA Fluid Dynamics Conference and Exhibit. 2005.
@inproceedings{13654bacc3754299b42d126f35149037,
title = "Feedback control of cavity flow using experimental based reduced order model",
abstract = "We present preliminary results on subsonic cavity flow control using reduced-order model based feedback control derived from experimental measurements. The reduced-order model was developed using the Proper Orthogonal Decomposition of PIV results in conjunction with the Galerkin projection of the Navier-Stokes equations onto the resulting spatial eigenfunctions. The stochastic estimation method was used for real-time estimate of the model time coefficients from dynamic surface pressure measurements. Equilibrium analysis led to the linearization of the reduced-order model around the equilibrium point and a model for controller design was obtained by shifting the origin of the coordinates to the equilibrium point. A linear-quadratic optimal controller was then designed and tested in the experiments. The results obtained are very promising and show that control is capable of reducing the cavity flow resonance not only at the Mach 0.3 flow, for which the reducedorder model was specifically derived, but also at other flows with some variation of the Mach number. These preliminary results indicate that the control switches the flow from a single mode resonance to a multi-mode resonance.",
author = "E. Caraballo and X. Yuan and Little, {Jesse C} and M. Debiasi and P. Yan and A. Serrani and Myatt, {J. H.} and M. Samimy",
year = "2005",
language = "English (US)",
isbn = "9781624100598",
booktitle = "35th AIAA Fluid Dynamics Conference and Exhibit",

}

TY - GEN

T1 - Feedback control of cavity flow using experimental based reduced order model

AU - Caraballo, E.

AU - Yuan, X.

AU - Little, Jesse C

AU - Debiasi, M.

AU - Yan, P.

AU - Serrani, A.

AU - Myatt, J. H.

AU - Samimy, M.

PY - 2005

Y1 - 2005

N2 - We present preliminary results on subsonic cavity flow control using reduced-order model based feedback control derived from experimental measurements. The reduced-order model was developed using the Proper Orthogonal Decomposition of PIV results in conjunction with the Galerkin projection of the Navier-Stokes equations onto the resulting spatial eigenfunctions. The stochastic estimation method was used for real-time estimate of the model time coefficients from dynamic surface pressure measurements. Equilibrium analysis led to the linearization of the reduced-order model around the equilibrium point and a model for controller design was obtained by shifting the origin of the coordinates to the equilibrium point. A linear-quadratic optimal controller was then designed and tested in the experiments. The results obtained are very promising and show that control is capable of reducing the cavity flow resonance not only at the Mach 0.3 flow, for which the reducedorder model was specifically derived, but also at other flows with some variation of the Mach number. These preliminary results indicate that the control switches the flow from a single mode resonance to a multi-mode resonance.

AB - We present preliminary results on subsonic cavity flow control using reduced-order model based feedback control derived from experimental measurements. The reduced-order model was developed using the Proper Orthogonal Decomposition of PIV results in conjunction with the Galerkin projection of the Navier-Stokes equations onto the resulting spatial eigenfunctions. The stochastic estimation method was used for real-time estimate of the model time coefficients from dynamic surface pressure measurements. Equilibrium analysis led to the linearization of the reduced-order model around the equilibrium point and a model for controller design was obtained by shifting the origin of the coordinates to the equilibrium point. A linear-quadratic optimal controller was then designed and tested in the experiments. The results obtained are very promising and show that control is capable of reducing the cavity flow resonance not only at the Mach 0.3 flow, for which the reducedorder model was specifically derived, but also at other flows with some variation of the Mach number. These preliminary results indicate that the control switches the flow from a single mode resonance to a multi-mode resonance.

UR - http://www.scopus.com/inward/record.url?scp=84884937797&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84884937797&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84884937797

SN - 9781624100598

BT - 35th AIAA Fluid Dynamics Conference and Exhibit

ER -