The University of Southampton
University of Southampton Institutional Repository

Local active control of road noise inside a vehicle

Local active control of road noise inside a vehicle
Local active control of road noise inside a vehicle
The performance is investigated of a multichannel feedforward headrest system for the active control of interior road noise around a listener's ears in a vehicle cabin. An active headrest system is combined with the remote microphone technique so that direct measurement of the error signals at the listener's ears are not necessary. The formulation of the optimal observation filter for the remote microphone technique and the optimal controller for active control is presented in the time domain, to sense and control broadband random road noise. The estimation accuracy of the remote microphone technique is investigated through simulations, using the signals measured at a number of monitoring microphones and error microphones in the cabin of a large SUV. It is shown that disturbances at the virtual error microphones can be accurately estimated by a causal observation filter. The attenuation performance of the active headrest system using the remote microphone technique is also predicted offline, using measured plant responses, disturbance signals and reference signals, which shows that several peaks in the spectrum of the road noise can be reduced at frequencies of up to 1 kHz. The effects of delays and head movements on the attenuation performance are also studied.
0888-3270
144-157
Jung, Woomin
d8734210-d7b3-48dc-ace0-3724cd864f37
Elliott, Stephen
721dc55c-8c3e-4895-b9c4-82f62abd3567
Cheer, Jordan
8e452f50-4c7d-4d4e-913a-34015e99b9dc
Jung, Woomin
d8734210-d7b3-48dc-ace0-3724cd864f37
Elliott, Stephen
721dc55c-8c3e-4895-b9c4-82f62abd3567
Cheer, Jordan
8e452f50-4c7d-4d4e-913a-34015e99b9dc

Jung, Woomin, Elliott, Stephen and Cheer, Jordan (2019) Local active control of road noise inside a vehicle. Mechanical Systems and Signal Processing, 121, 144-157. (doi:10.1016/j.ymssp.2018.11.003).

Record type: Article

Abstract

The performance is investigated of a multichannel feedforward headrest system for the active control of interior road noise around a listener's ears in a vehicle cabin. An active headrest system is combined with the remote microphone technique so that direct measurement of the error signals at the listener's ears are not necessary. The formulation of the optimal observation filter for the remote microphone technique and the optimal controller for active control is presented in the time domain, to sense and control broadband random road noise. The estimation accuracy of the remote microphone technique is investigated through simulations, using the signals measured at a number of monitoring microphones and error microphones in the cabin of a large SUV. It is shown that disturbances at the virtual error microphones can be accurately estimated by a causal observation filter. The attenuation performance of the active headrest system using the remote microphone technique is also predicted offline, using measured plant responses, disturbance signals and reference signals, which shows that several peaks in the spectrum of the road noise can be reduced at frequencies of up to 1 kHz. The effects of delays and head movements on the attenuation performance are also studied.

Text
MSSP18-348R1 - Accepted Manuscript
Download (3MB)

More information

Accepted/In Press date: 3 November 2018
e-pub ahead of print date: 22 November 2018
Published date: 15 April 2019

Identifiers

Local EPrints ID: 425892
URI: http://eprints.soton.ac.uk/id/eprint/425892
ISSN: 0888-3270
PURE UUID: b0231921-4ab3-4367-8dd3-f747289fac83
ORCID for Jordan Cheer: ORCID iD orcid.org/0000-0002-0552-5506

Catalogue record

Date deposited: 06 Nov 2018 17:30
Last modified: 16 Mar 2024 07:14

Export record

Altmetrics

Contributors

Author: Woomin Jung
Author: Stephen Elliott
Author: Jordan Cheer ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×