Active noise control in a free field with virtual sensors

2001 ◽  
Vol 109 (1) ◽  
pp. 232-243 ◽  
Author(s):  
Colin D. Kestell ◽  
Ben S. Cazzolato ◽  
Colin H. Hansen
Keyword(s):  
Noise Control ◽  
Free Field ◽  
Active Noise Control ◽  
Virtual Sensors ◽  
Active Noise

Active Noise Control Using Multi-Layered Perceptron Neural Networks

1997 ◽  
Vol 16 (2) ◽  
pp. 109-144 ◽  
Author(s):  
M.O. Tokhi ◽  
R. Wood
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Network Architecture ◽  
Noise Control ◽  
Learning Algorithm ◽  
Free Field ◽  
Active Noise Control ◽  
Three Dimensional ◽  
Broadband Noise ◽  
Active Noise

This paper presents the development of a neuro-adaptive active noise control (ANC) system. Multi-layered perceptron neural networks with a backpropagation learning algorithm are considered in both the modelling and control contexts. The capabilities of the neural network in modelling dynamical systems are investigated. A feedforward ANC structure is considered for optimum cancellation of broadband noise in a three-dimensional propagation medium. An on-line adaptation and training mechanism allowing a neural network architecture to characterise the optimal controller within the ANC system is developed. The neuro-adaptive ANC algorithm thus developed is implemented within a free-field environment and simulation results verifying its performance are presented and discussed.

scholarly journals Experimental Design Methodology for Global Active Noise Control in Enclosed Space

2021 ◽  
Author(s):  
Ikchae Jeong ◽  
Youngjin Park
Keyword(s):  
Experimental Design ◽  
Field Condition ◽  
Design Methodology ◽  
Noise Control ◽  
Noise Source ◽  
Free Field ◽  
Active Noise Control ◽  
Active Noise ◽  
Enclosed Space ◽  
Experimental Design Methodology

Abstract The purpose of this paper is to propose an experimental design methodology for global active noise control in an enclosed space. We aim to control the noise caused by an internal noise source. Since each enclosed space has different acoustic characteristics, it is difficult to design different controllers suitable for each enclosed space. So, we decided to design a controller that could be used universally. The basic concept is the collocation of noise source and control speakers to generate a sound field opposite in phase to the noise source in a free field. For implementation of the proposed method, we propose a configuration method of control speakers and error microphones, and an active noise control algorithm. Also, to confirm the applicability of the proposed method, we design a controller in an anechoic chamber, which represents a free field condition, and perform active noise control in other enclosed spaces with the controller designed for the anechoic chamber. The experimental results show that the solution calculated in the free field condition can be used in other enclosed spaces without any modifications.

Optimization of control source locations in free-field active noise control using a genetic algorithm

2009 ◽  
Vol 57 (3) ◽  
pp. 221 ◽  
Author(s):  
Connor R. Duke ◽  
Scott D. Sommerfeldt ◽  
Kent L. Gee ◽  
Cole V. Duke
Keyword(s):  
Genetic Algorithm ◽  
Noise Control ◽  
Free Field ◽  
Active Noise Control ◽  
Active Noise ◽  
Control Source

Application of a Multipole Secondary Source for Propeller Active Noise Control

2014 ◽  
Vol 564 ◽  
pp. 135-142 ◽  
Author(s):  
Muhammad Kusni ◽  
Benjamin Soenarko ◽  
Harijono Djojodihardjo
Keyword(s):  
Noise Reduction ◽  
Noise Control ◽  
Free Field ◽  
Active Noise Control ◽  
Secondary Source ◽  
Frequency Noise ◽  
Secondary Sources ◽  
Active Noise ◽  
Novel Approach ◽  
Active Noise Reduction

The commercial feasibility of active noise control (ANC) is very promising due to its capability beyond passive noise control (PNC). To some extent ANC becomes a complement of PNC. The active noise reduction is also capable and beneficial in reducing noise selectively. However, the active noise reduction using a conventional secondary source can become very complicated if a significant noise level reduction is required, since a large number of secondary sources will be needed. The active noise reduction is also less effective for reducing high-frequency noise. With such perspectives, a novel approach has been developed using a multipole secondary source to addressthe problems mentioned. In addition, the multipole secondary source will be used for numerical simulation of noise reduction in of propeller noise source in a free field.

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