Virtual sensors for active noise control in acoustic–structural coupled enclosures using structural sensing: robust virtual sensor design
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...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Published: |
Acoustical Society of America
2011
|
| Online Access: | https://eprints.nottingham.ac.uk/50244/ |
| _version_ | 1848798196595163136 |
|---|---|
| author | Halim, Dunant Cheng, Li Su, Zhongqing |
| author_facet | Halim, Dunant Cheng, Li Su, Zhongqing |
| author_sort | Halim, Dunant |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T20:15:56Z |
| format | Article |
| id | nottingham-50244 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T20:15:56Z |
| publishDate | 2011 |
| publisher | Acoustical Society of America |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-502442020-05-04T16:30:20Z https://eprints.nottingham.ac.uk/50244/ Virtual sensors for active noise control in acoustic–structural coupled enclosures using structural sensing: robust virtual sensor design Halim, Dunant Cheng, Li Su, Zhongqing 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. Acoustical Society of America 2011-03-01 Article PeerReviewed 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 https://doi.org/10.1121/1.3531941 doi:10.1121/1.3531941 doi:10.1121/1.3531941 |
| spellingShingle | Halim, Dunant Cheng, Li Su, Zhongqing Virtual sensors for active noise control in acoustic–structural coupled enclosures using structural sensing: robust virtual sensor design |
| title | Virtual sensors for active noise control in acoustic–structural coupled enclosures using structural sensing: robust virtual sensor design |
| title_full | Virtual sensors for active noise control in acoustic–structural coupled enclosures using structural sensing: robust virtual sensor design |
| title_fullStr | Virtual sensors for active noise control in acoustic–structural coupled enclosures using structural sensing: robust virtual sensor design |
| title_full_unstemmed | Virtual sensors for active noise control in acoustic–structural coupled enclosures using structural sensing: robust virtual sensor design |
| title_short | Virtual sensors for active noise control in acoustic–structural coupled enclosures using structural sensing: robust virtual sensor design |
| title_sort | virtual sensors for active noise control in acoustic–structural coupled enclosures using structural sensing: robust virtual sensor design |
| url | https://eprints.nottingham.ac.uk/50244/ https://eprints.nottingham.ac.uk/50244/ https://eprints.nottingham.ac.uk/50244/ |