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Type: Journal article
Title: A review of virtual sensing algorithms for active noise control
Author: Moreau, D.
Cazzolato, B.
Zander, A.
Petersen, C.
Citation: Algorithms, 2008; 1(2):69-99
Publisher: Molecular Diversity Preservation International
Issue Date: 2008
ISSN: 1999-4893
Statement of
Danielle Moreau, Ben Cazzolato, Anthony Zander and Cornelis Petersen
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.
Keywords: Virtual sensing; Active noise control; Active headrest
Rights: ©2008 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland. This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (
RMID: 0020084729
DOI: 10.3390/a1020069
Appears in Collections:Mechanical Engineering publications
Environment Institute publications

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