Reduced-Order Model-Based Feedback Control of Subsonic Cavity Flows — An Experimental Approach

Samimy, Mo; Debiasi, Marco; Caraballo, E.; Serrani, Andrea; Xing, Yuan; Little, Jesse; Myatt, James

doi:10.1007/978-3-540-71439-2_13

Cited by 3 publications

(3 citation statements)

References 40 publications

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“…Within the framework of the linear control, Samimy et al [27,28] and Barbagallo et al [29] have used POD-based ROM to control instabilities in open cavity. Palomo Del Barrio et al [30], Sempey et al [31], and Li et al [32] have sought to control the temperature inside buildings using ROMs.…”

Section: Introductionmentioning

confidence: 99%

Optimal flow control using a POD-based reduced-order model

Tallet

Allery

Leblond

2016

Numerical Heat Transfer, Part B: Fundamentals

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The flow control constitutes a challenging research topic with numerous applications in aeronautics, aerodynamics, fluid mechanics, civil engineering, and so on. Due to the use of iterative algorithms, it is costly in both CPU time and memory requirements. In this paper, an optimal control strategy with reduced-order model built with proper orthogonal decomposition approach is proposed. The methodology is developed to control an anisothermal flow in a lid-driven cavity with one control parameter and then extended to at two control parameters. The control is realized in quasi-real time, which opens the way to promising practical applications. ARTICLE HISTORY

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Section: Introductionmentioning

confidence: 99%

Optimal flow control using a POD-based reduced-order model

Tallet

Allery

Leblond

2016

Numerical Heat Transfer, Part B: Fundamentals

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“…A comprehensive review of this phenomenon and of various control and actuation strategies developed for its suppression is given in Cattafesta et al (2003) and Rowley and Williams (2006). Samimy et al 2006). The approach we have followed in the development of such model is based on the proper orthogonal decomposition (POD) method.…”

Section: Introductionmentioning

confidence: 99%

“…Recently we have used POD technique along with the Galerkin project to develop a reduced-order model and a matching controller based on experimental measurement of a Mach 0.3 flow over a shallow cavity . This initial result was followed by additional models and controllers that, in some cases, proved very effective in reducing the cavity flow resonance Samimy et al 2006). In all these cases, the feedback control loop has the same structure which comprises the elements depicted in Figure 1 that work in concert and influence each other and thus the overall control effect.…”

Section: Introductionmentioning

confidence: 99%

Influence of Stochastic Estimation on the Control of Subsonic Cavity Flow - A Preliminary Study

Debiasi

Caraballo

Serrani

et al. 2006

3rd AIAA Flow Control Conference

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This work aims at understanding how the different elements involved in the feedback loop influence the overall control performance of a subsonic cavity flow based on reducedorder modeling. To this aim we compare preliminary and limited sets of experimental results obtained by modifying some relevant characteristics of the loop. Our results support the findings in the literature that use of quadratic stochastic estimation is preferable to the linear one for real-time update of the model parameters. They also seem to indicate the merit of using more than one time sample of the pressure for performing the real-time update of the model through stochastic estimation. The effect of using two different sets of pressure signals for the stochastic estimation also corroborates previous findings indicating the need for optimizing the number and the placement of the sensors used in the feedback control loop. Finally we observed that the characteristics of the actuator can alter significantly the overall control effect by introducing in the feedback loop additional, undesirable frequency components that are not modeled and hence controlled. A compensator for the actuator is currently being designed that will alleviate this problem thus enabling a clearer understanding of the overall control technique.

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