A generalised approach for active control of structural–interior global noise: Practical implementation

Hill, Simon G.; Tanaka, Nobuo; Iwamoto, Hiroyuki

doi:10.1016/j.jsv.2012.02.027

Cited by 7 publications

(6 citation statements)

References 20 publications

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“…The foundation of the approach is sensing orthogonal multipole radiation patterns [11,44]. The technique is amendable to both structural and acoustic sensing [8,[47][48][49][50]. The multipole decomposition technique begins by writing the acoustic pressure radiation from a (any) source in terms of acoustic multipole radiation patterns, similar to decomposition of structural velocity distribution in terms of in vacuo mode shape functions [11].…”

Section: Hybrid Sensing/control Strategymentioning

confidence: 99%

“…These points have lead to the term 'curse of controller dimension. ' From the sensing perspective, modal filtering has been used to seek a balance between many sensors and yet a few error signals which accurately represent the global error [8]. Developments of orthogonal contributors to radiated power have been based on structural modes [9], elemental radiators [10], and an array of phased monopoles [8,11].…”

Section: Introductionmentioning

confidence: 99%

“…' From the sensing perspective, modal filtering has been used to seek a balance between many sensors and yet a few error signals which accurately represent the global error [8]. Developments of orthogonal contributors to radiated power have been based on structural modes [9], elemental radiators [10], and an array of phased monopoles [8,11]. The outcome is a set of orthogonal contributors, 'mode' like patterns, which then provide a target for the sensing system and a large number of sensors can be filtered down into a small set of signals that a controller can analyse.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Local sensing/control or global error sensing/control in structural acoustics: A comparison of two techniques influence over sound power

Hill¹,

Tanaka²,

Iwamoto³

2010

Applied Acoustics

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Section: Hybrid Sensing/control Strategymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Local sensing/control or global error sensing/control in structural acoustics: A comparison of two techniques influence over sound power

Hill¹,

Tanaka²,

Iwamoto³

2010

Applied Acoustics

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“…Part of the work focused on active control of structural sound radiation to a free field, while other on acoustic-structural coupled enclosures (such as Pan and Hansen, 1991;Snyder and Tanaka, 1993;Cazzolato, 1999;Kim and Brennan, 2000;Tanaka and Kobayashi, 2006;Hill et al, 2009;Li and Cheng, 2010 and references therein). Two active control strategies in this aspect are the global and local active controls, showing respective merits and limitations.…”

Section: Introductionmentioning

confidence: 99%

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

Halim

2011

The Journal of the Acoustical Society of America

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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 virtual 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 sensor could accurately estimate the interior sound pressure, particularly the one dominated by cavitycontrolled 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.

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“…For this purpose, a vibro-acoustic virtual sensor was proposed by Halim et al (2011), which allowed active control of local interior sound field using only structural sensors. This vibro-acoustic virtual sensor is different from spatial or modal filters that use discrete or distributed structural sensors (e.g., Snyder and Tanaka, 1993;Cazzolato, 1999;Smith and Clark, 2001;Hill et al, 2009). Such spatial/modal sensors have potential sensing limitations due to "leakage" because of discrete spatial sampling or imperfections of distributed sensor patterns (Cazzolato, 1999).…”

Section: Introductionmentioning

confidence: 99%

Virtual sensors for active noise control in acoustic-structural coupled enclosures using structural sensing: Part II—Optimization of structural sensor placement

Halim

2011

The Journal of the Acoustical Society of America

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The work proposed an optimization approach for structural sensor placement to improve the performance of vibro-acoustic virtual sensor for active noise control applications. The vibroacoustic virtual sensor was designed to estimate the interior sound pressure of an acousticstructural coupled enclosure using structural sensors. A spectral-spatial performance metric was proposed, which was used to quantify the averaged structural sensor output energy of a vibroacoustic system excited by a spatially varying point source. It was shown that (i) the overall virtual sensing error energy was contributed additively by the modal virtual sensing error and the measurement noise energy; (ii) each of the modal virtual sensing error system was contributed by both the modal observability levels for the structural sensing and the target acoustic virtual sensing; and further (iii) the strength of each modal observability level was influenced by the modal coupling and resonance frequencies of the associated uncoupled structural/cavity modes. An optimal design of structural sensor placement was proposed to achieve sufficiently high modal observability levels for certain important panel-and cavity-controlled modes. Numerical analysis on a panel-cavity system demonstrated the importance of structural sensor placement on virtual sensing and active noise control performance, particularly for cavitycontrolled modes.

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A generalised approach for active control of structural–interior global noise: Practical implementation

Cited by 7 publications

References 20 publications

Local sensing/control or global error sensing/control in structural acoustics: A comparison of two techniques influence over sound power

Local sensing/control or global error sensing/control in structural acoustics: A comparison of two techniques influence over sound power

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

Virtual sensors for active noise control in acoustic-structural coupled enclosures using structural sensing: Part II—Optimization of structural sensor placement

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