Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6449
Title: Control input separation methods applied to cavity flow
Authors: Kasnakoğlu, Coşku
Caraballo, Edgar
Serrani, Andrea
Samimy, Mo
Keywords: [No Keywords]
Issue Date: 2008
Publisher: IEEE
Source: American Control Conference 2008 -- JUN 11-13, 2008 -- Seattle, WA
Series/Report no.: Proceedings of the American Control Conference
Abstract: Two control input separation methods for control-oriented reduced-order modeling of flow systems are developed and implemented in a cavity flow experimental facility. The proposed methods are 1) actuated POD expansion with stochastic estimation and 2) optimization on a Hilbert space, respectively. These methods extend the baseline flow model through the use of innovation vectors, which capture the distance of the actuated flow from the baseline space. This technique remedies certain gaps associated with the sub-domain separation method employed in our earlier works by 1) producing models that exactly reduce to baseline case under no input, 2) not requiring an identifiable control region and 3) improving the estimation of the control terms. The methods am evaluated in experiments to test their ability to achieve reconstruction of the flow. Also, the performance of closed loop controllers built from models based on these new techniques are analyzed. It is seen that these controllers perform satisfactorily in terms of resonance peak suppression, and compare favorably over the old one in terms of power consumption.
URI: https://doi.org/10.1109/ACC.2008.4586775
https://hdl.handle.net/20.500.11851/6449
ISBN: 978-1-4244-2078-0
ISSN: 0743-1619
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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