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Development and Application of a Reduced Order Model for the Control of Self-Sustained Instabilities in Cavity Flows

Published online by Cambridge University Press:  03 June 2015

Kaushik Kumar Nagarajan*
Affiliation:
National Aerospace Laboratories, Bengaluru, 560017, India
Laurent Cordier*
Affiliation:
PPRIME Institute CEAT, 43 route de l’aérodrome, 86000 Poitiers, France
Christophe Airiau*
Affiliation:
Université de Toulouse; INPT, UPS; IMFT (Institut de Mécanique des Fluides de Toulouse); Allée Camille Soula, F-31400 Toulouse, France
*
Corresponding author.Email:[email protected]
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Abstract

Flow around a cavity is characterized by a self-sustained mechanism in which the shear layer impinges on the downstream edge of the cavity resulting in a feedback mechanism. Direct Numerical Simulations of the flow at low Reynolds number has been carried out to get pressure and velocity fluctuations, for the case of un-actuated and multi frequency actuation. A Reduced Order Model for the isentropic compressible equations based on the method of Proper Orthogonal Decomposition has been constructed. The model has been extended to include the effect of control. The Reduced Order dynamical system shows a divergence in time integration. A method of calibration based on the minimization of a linear functional of error, to the sensitivity of the modes, is proposed. The calibrated low order model is used to design a feedback control of cavity flows based on an observer design. For the experimental implementation of the controller, a state estimate based on the observed pressure measurements is obtained through a linear stochastic estimation. Finally the obtained control is introduced into the Direct Numerical Simulation to obtain a decrease in spectra of the cavity acoustic mode.

Type
Research Article
Copyright
Copyright © Global Science Press Limited 2013

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References

[1]Rowley, C. W., Colonius, T., Basu, A. J., On self-sustained oscillations in two-dimensional compressible flow over rectangular cavities, J. Fluid Mech. 455 (2002) 315346.Google Scholar
[2]Gloerfelt, X., Bailly, C., Juveé, D., Direct computation of the noise radiated by a subsonic cavity flow and application of integral methods, J. Sound Vib. 266 (1) (2003) 119146.Google Scholar
[3]Bres, G. A., Colonius, T., Three-dimensional instabilities in compressible flow over open cavities, J. Fluid Mech. 599 (2008) 309339.Google Scholar
[4]Larcheveque, L., Sagaut, P., Labbe, O., Large-eddy simulation of a subsonic cavity flow including asymmetric three-dimensional effects, J. Fluid Mech. 577 (2007) 105126.Google Scholar
[5]Rowley, C. W., Williams, D. R., Dynamics and control of high-reynolds number flow over cavities, Annual Review of Fluid Mechanics 38 (2006) 251276.Google Scholar
[6]Bergmann, M., Cordier, L., Brancher, J.-P., Optimal rotary control of the cylinder wake using POD Reduced Order Model, Phys. Fluids 17 (9) (2005) 097101:121.Google Scholar
[7]Luchtenburg, D. M., Guenther, B., Noack, B. R., King, R., Tadmor, G., A generalized mean-field model of the natural and high-frequency actuated flow around a high-lift configuration, J. Fluid Mech. 623 (2009) 283316.Google Scholar
[8]Rowley, C. W., Colonius, T., Murray, R. M., Model reduction for compressible flows using POD and Galerkin projection, Physica D. Nonlinear Phenomena 189 (1-2) (2004) 115129.Google Scholar
[9]Gloerfelt, X., Compressible Proper Orthogonal Decomposition/Galerkin reduced order model of self sustained oscillations in a cavity, Phys. Fluids 20 (2008) 115105.Google Scholar
[10]Weller, J., Lombardi, E., Iollo, A., Robust model identification of actuated vortex wakes, Physica D: Nonlinear Phenomena 238 (2009) 416427.Google Scholar
[11]Kasnakoglu, C., Reduced order modeling, nonlinear analysis and control methods for flow control problems, Ph.D. thesis, Ohio State University (2007).Google Scholar
[12]Samimy, M., Debiasi, M., Caraballo, E., Serrani, A., Yuan, X., Little, J., Myatt, J., Feedback Control of Subsonic Cavity Flows Using Reduced-order Models, J. Fluid Mech. 579 (2007) 315346.Google Scholar
[13]Galletti, B., Bruneau, C.-H., Zannetti, L., Iollo, A., Low-order modelling of laminar flow regimes past a confined square cylinder, J. Fluid Mech. 503 (2004) 161170.Google Scholar
[14]Couplet, M., Basdevant, C., Sagaut, P., Calibrated Reduced-Order POD-Galerkin system for fluid flow modelling J. Comp. Phys. 207 (2005) 192220.Google Scholar
[15]Perret, L., Collin, E., Delville, J., Polynomial identification of POD based low-order dynamical system, Journal of Turbulence 7 (2006) 115.Google Scholar
[16]Kalb, V. L., Deane, A. E., An intrinsic stabilization scheme for proper orthogonal decomposition based low-dimensional models, Phys. Fluids 19 (2007) 054106.Google Scholar
[17]Cordier, L., El Majd, B. Abou, Favier, J., Calibration of POD Reduced-Order models using Tikhonov regularization, Int. J. Numer. Meth. Fluids 63 (2) (2009) 269296.Google Scholar
[18]Gugercin, S., Antoulas, A. C., A survey of model reduction by balanced truncation and some new results, International Journal of Control 77 (8) (2004) 748766.Google Scholar
[19]Moore, B., Principal component analysis in linear systems: Controllability, observability, and model reduction, IEEE Transactions on Automatic Control 26 (1981) 1732.Google Scholar
[20]Rowley, C. W., Model reduction for fluids using balanced proper orthogonal decomposition, International Journal of Bifurcation and Chaos 15 (3) (2005) 9971013.Google Scholar
[21]Barbagallo, A., Sipp, D., Schmid, P., Closed-loop control of an open cavity flow using reduced order models, J. Fluid Mech. 641 (2009) 150.Google Scholar
[22]Sirovich, L., Turbulence and the dynamics of coherent structures, Quarterlyof Applied Mathematics XLV (3) (1987) 561590.Google Scholar
[23]Holmes, P., Lumley, J. L., Berkooz, G., Turbulence, Coherent Structures, Dynamical Systems and Symmetry, Cambridge University Press, Cambridge U. K., , 1996.Google Scholar
[24]Cordier, L., Bergmann, M., Proper Orthogonal Decomposition: an overview., in: Lecture series 2002-04 on the post-processing of experimental and numerical data., Von Karman Institut for Fluid Dynamics., 2002.Google Scholar
[25]Caraballo, E., Kasnakoglu, C., Serrani, A., Samimy, M., Control input separation methods for reduced-order model-based feedback flow control, AIAA Journal 46 (9) (2008) 23062322.Google Scholar
[26]Rempfer, D., On low-dimensional Galerkin models for fluid flow, Theor. Comput. Fluid Dyn. 14 (2000) 7588.Google Scholar
[27]Noack, B. R., Papas, P., Monkewitz, P. A., The need for a pressure-term representation in empirical Galerkin models of incompressible shear flows, J. Fluid Mech. 523 (2005) 339365.Google Scholar
[28]Iollo, A., Lanteri, S., Desideri, J. A., Stability properties of POD-Galerkin approximations for the compressible Navier-Stokes equations, Tech. Rep. 3589, INRIA (1998).Google Scholar
[29]Delprat, N., Rossiter’s formula: A simple spectral model for a complex amplitude modulation process?, Phys. Fluids 18 (2006) 071703.Google Scholar
[30]Jordan, P., Tinney, C., Stalnov, O., Schlegel, M., Noack, B. R., Identifying noisy and quiet modes in a jet, in: AIAA Paper 20073702, 2007.Google Scholar
[31]Sirisup, S., Karniadakis, G. E., A spectral viscosity method for correcting the long-term behavior of POD model J. Comp. Phys. 194 (2004) 92116.Google Scholar
[32]Graham, W. R., Peraire, J., Tang, K. T., Optimal Control of Vortex Shedding Using Low Order Models. Part 1. Open-Loop Model Development, Int. J. for Numer. Meth. in Engrg. 44 (7) (1999) 945972.Google Scholar
[33]Graham, W. R., Peraire, J., Tang, K. T., Optimal Control of Vortex Shedding Using Low Order Models. Part 2: Model-based control, Int. J. for Numer. Meth. in Engrg. 44 (7) (1999) 973990.Google Scholar
[34]Fahl, M., Trust-region methods for flow control based on Reduced Order Modeling, Ph.D. thesis, Trier University (2000).Google Scholar
[35]Bergmann, M., Cordier, L., Optimal control of the cylinder wake in the laminar regime by Trust-Region methods and POD Reduced Order Models J. Comp. Phys. 227 (2008) 78137840.Google Scholar
[36]Adrian, R. J., Moin, P., Stochastic estimation of organized turbulent structure: homogeneous shear flow, J. Fluid Mech. 190 (1988) 531 559.Google Scholar
[37]Bonnet, J.-P., Cole, D., Delville, J., Glauser, M., Ukeiley, L., Stochastic estimation and proper orthogonal decomposition: Complementary techniques for identifying structures, Exp. Fluids 17 (1994) 307314.Google Scholar
[38]Buffoni, M., Camarri, S., Iollo, E., Lombardi, E., V, S. M., A non-linear observer for unsteady three-dimensional flows J. Comp. Phys. 227 (4) (2008) 26262643.CrossRefGoogle Scholar
[39]Bewley, T. R., Liu, S., Optimal and robust control and estimation of linear paths to transition, J. Fluid Mech. 365 (1998) 305349.Google Scholar
[40]Bagheri, S., Hoepffner, J., Schmid, P. J., Henningson, D. S., Input-output analysis and control design applied to a linear model of spatially developing flows, App. Mech. Rev. 62 (2009) 127.Google Scholar
[41]Nagarajan, K. K., Analysis and control of self-sustained instabilities in a cavity using reduced order modelling, Ph.D. thesis, Institut National Polytechnique de Toulouse (2010).Google Scholar