Active cancellation at a point in a pure tone diffuse sound field

Elliott, S.J.; Joseph, P.F.; Bullmore, A.J.; Nelson, P.A.

doi:10.1016/0022-460x(88)90343-4

Cited by 71 publications

(55 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The resulting zones of quiet are usually centered at the error sensors, and are often too small to extend from the error sensors to the observer's ears [1]. To overcome these practical limitations, a number of virtual sensing methods for local active noise control systems have been suggested [2][3][4][5][6][7][8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

A Kalman filter approach to virtual sensing for active noise control

Petersen

Fraanje

Cazzolato

et al. 2008

Mechanical Systems and Signal Processing

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

A Kalman filter approach to virtual sensing for active noise control

Petersen

Fraanje

Cazzolato

et al. 2008

Mechanical Systems and Signal Processing

View full text Add to dashboard Cite

“…As a result of this physical limitation, active control in large enclosures is often limited to controlling the sound field in a specific local region and a significant amount of research has been conducted in this area [2,20,21,22,23]. For a local active control system employing a single error sensor and remote secondary source and operating in a diffuse sound field, it has been shown that the diameter of the zone of quiet within which 10 dB of attenuation is achieved is limited to about one tenth of the acoustic wavelength [22]. Therefore, at 250 Hz the zone of quiet would have a diameter of around 14 cm.…”

Section: Feedforward Active Noise Control Systemmentioning

confidence: 99%

Active noise control of a diesel generator in a luxury yacht

Cheer

Elliott

2016

Applied Acoustics

View full text Add to dashboard Cite

Active noise control has been applied to a variety of systems in order to improve performance without the increases in size and weight that would otherwise be required by traditional passive noise control treatments. This paper investigates the application of an active noise control system to the control of generator noise in the master cabin of a luxury yacht. A multichannel, multi-tonal active noise control system employing loudspeakers and microphones in the master cabin of the yacht is investigated. It is shown that, due to the high number of engine orders produced by the generator, in order to achieve significantly perceptible levels of noise attenuation it is necessary to control at least 7 individual orders. A controller is investigated which targets 19 engine orders and it is shown to achieve in excess of 5 dB broadband attenuation, whilst achieving up to 23 dB attenuation in individual orders. This corresponds to a 23% reduction in the Zwicker loudness.

show abstract

“…The greater the wavelength of the signal to be canceled, the larger the zones of quiet. It has been shown [23] that a considerable attenuation can be achieved in an area around the control point with an approximate size of one-tenth of the wavelength of the signal to be canceled. Out of these quiet zones, noise level may even increase [24].…”

Section: Introductionmentioning

confidence: 99%

Control Effort Strategies for Acoustically Coupled Distributed Acoustic Nodes

Antoñanzas

Ferrer

Diego

et al. 2017

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

This paper considers the effect of effort constraints on the behavior of an active noise control (ANC) system over a distributed network composed of acoustic nodes. A distributed implementation can be desirable in order to provide more flexible, versatile, and scalable ANC systems. In this regard, the distributed version of the multiple error filtered-x least mean square (DMEFxLMS) algorithm that allows collaboration between nodes has shown excellent properties. However, practical constraints need to be considered since, in real scenarios, the acoustic nodes are equipped with power constrained actuators. If these constraints are not considered within the adaptive algorithm, the control signals may increase and saturate the hardware devices, causing system instability. To avoid this drawback, a control effort weighting can be considered in the cost function of the distributed algorithm at each node. Therefore, a control effort strategy over the output signals at each node is used to keep them under a given threshold and ensuring the distributed ANC system stability. Experimental results show that, assuming ideal network communications, the proposed distributed algorithm achieves the same performance as the leaky centralized ANC system. A performance evaluation of several versions of the leaky DMEFxLMS algorithm in realistic scenarios is also included.

show abstract

Active cancellation at a point in a pure tone diffuse sound field

Cited by 71 publications

References 6 publications

A Kalman filter approach to virtual sensing for active noise control

A Kalman filter approach to virtual sensing for active noise control

Active noise control of a diesel generator in a luxury yacht

Control Effort Strategies for Acoustically Coupled Distributed Acoustic Nodes

Contact Info

Product

Resources

About