Virtual sensors for active noise control in acoustic–structural coupled enclosures using structural sensing: robust virtual sensor design

Halim, Dunant, Cheng, Li and Su, Zhongqing (2011) Virtual sensors for active noise control in acoustic–structural coupled enclosures using structural sensing: robust virtual sensor design. The Journal of the Acoustical Society of America, 129 (3). pp. 1390-1399. ISSN 0001-4966

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Abstract

The work was aimed to develop a robust virtual sensing design methodology for sensing and active control applications of vibro-acoustic systems. The proposed virtual sensor was designed to estimate a broadband acoustic interior sound pressure using structural sensors, with robustness against certain dynamic uncertainties occurring in an acoustic–structural coupled enclosure. A convex combination of Kalman sub-filters was used during the design, accommodating different sets of perturbed dynamic model of the vibro-acoustic enclosure. A minimax optimization problem was set up to determine an optimal convex combination of Kalman sub-filters, ensuring an optimal worst-case vir- tual sensing performance. The virtual sensing and active noise control performance was numerically investigated on a rectangular panel-cavity system. It was demonstrated that the proposed virtual sen- sor could accurately estimate the interior sound pressure, particularly the one dominated by cavity- controlled modes, by using a structural sensor. With such a virtual sensing technique, effective active noise control performance was also obtained even for the worst-case dynamics.

Item Type: Article
RIS ID: https://nottingham-repository.worktribe.com/output/707192
Additional Information: © The Acoustical Society of America.
Schools/Departments: University of Nottingham Ningbo China > Faculty of Science and Engineering
Identification Number: https://doi.org/10.1121/1.3531941
Depositing User: LI, Zhilin
Date Deposited: 13 Mar 2018 09:05
Last Modified: 04 May 2020 16:30
URI: https://eprints.nottingham.ac.uk/id/eprint/50244

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