Experiments on optimization of active noise control on a three‐dimensional extended radiator

1990 ◽  
Vol 87 (S1) ◽  
pp. S62-S62
Author(s):  
Jeffery A. Giordano ◽  
Kenneth A. Cunefare ◽  
Gary Koopmann
2019 ◽  
Vol 18 (04) ◽  
pp. 1930002 ◽  
Author(s):  
Hsiao Mun Lee ◽  
Zhaomeng Wang ◽  
Kian Meng Lim ◽  
Heow Pueh Lee

Active noise control (ANC), with counteracting sound in exact equal magnitude and opposite phase to the noise to be controlled, is often considered as a potential solution for solving complex noise problems. However, there are both myths and challenges in its implementations. In a crowded city like Singapore, many noise sources from construction site and subway track are located very close to the residential and commercial buildings. It was suggested by few researchers that by placing suitable control speakers at the construction site (working principle of ANC), the noise from the construction site could be prevented from propagating to the surrounding buildings. Similarly, for viaduct or subway track, by placing control speakers along the viaduct or track, the noise generated by the passing trains or vehicles could be reduced based on the principle of ANC technique. However, implementation of ANC technique on these noise issues is not easy as all of these noise control problems involve multiple noise sources with complex or transient frequency spectrum in large three-dimensional/open space. Therefore, the main intention of the present paper is to discuss the current state of the art of this topic as well as to examine the potential application and limitation of the ANC technique in mitigating unwanted noise, particularly in large three-dimensional/open space and with cooperation of passive noise barrier.


2006 ◽  
Vol 2006 (0) ◽  
pp. 5-6
Author(s):  
Toshihiko Higashi ◽  
Shinya Kijimoto ◽  
Yoichi Kanemitu ◽  
Koichi Matuda ◽  
Ikuma Ikeda ◽  
...  

2006 ◽  
Vol 2006.59 (0) ◽  
pp. 251-252
Author(s):  
Toshihiko Higashi ◽  
Yoichi Kanemitu ◽  
Shinya Kijimoto ◽  
Koichi Matuda

1997 ◽  
Vol 16 (2) ◽  
pp. 109-144 ◽  
Author(s):  
M.O. Tokhi ◽  
R. Wood

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.


2012 ◽  
Vol 90 (9) ◽  
pp. 1183-1206 ◽  
Author(s):  
A. Brancati ◽  
M. H. Aliabadi ◽  
V. Mallardo

KSME Journal ◽  
1994 ◽  
Vol 8 (3) ◽  
pp. 283-292 ◽  
Author(s):  
Oh-Sang Kwon ◽  
Bong-Ki Kim ◽  
Jeong-Guon Ih

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