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Algorithms 2008, 1(2), 69-99; doi:10.3390/a1020069

A Review of Virtual Sensing Algorithms for Active Noise Control

1
School of Mechanical Engineering, The University of Adelaide, North Terrace, SA, 5005, Australia
2
Bassett, 100 Pirie Street, SA, 5000, Australia
*
Author to whom correspondence should be addressed.
Received: 29 September 2008 / Accepted: 29 October 2008 / Published: 3 November 2008
(This article belongs to the Special Issue Sensor Algorithms)
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Abstract

Traditional local active noise control systems minimise the measured acoustic pressure to generate a zone of quiet at the physical error sensor location. The resulting zone of quiet is generally limited in size and this requires the physical error sensor be placed at the desired location of attenuation, which is often inconvenient. To overcome this, a number of virtual sensing algorithms have been developed for active noise control. Using the physical error signal, the control signal and knowledge of the system, these virtual sensing algorithms estimate the error signal at a location that is remote from the physical error sensor, referred to as the virtual location. Instead of minimising the physical error signal, the estimated error signal is minimised with the active noise control system to generate a zone of quiet at the virtual location. This paper will review a number of virtual sensing algorithms developed for active noise control. Additionally, the performance of these virtual sensing algorithms in numerical simulations and in experiments is discussed and compared. View Full-Text
Keywords: Virtual sensing; Active noise control; Active headrest Virtual sensing; Active noise control; Active headrest
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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Moreau, D.; Cazzolato, B.; Zander, A.; Petersen, C. A Review of Virtual Sensing Algorithms for Active Noise Control. Algorithms 2008, 1, 69-99.

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