Application of genetic algorithmbin an active noise control system

An active noise control (ANC) system utilizing a genetic algorithm for reduction of noise in duct is described. A continuous genetic algorithm with a heuristic crossover method was applied in the controller of the system. The ANC system was tested on a laboratory stand. Measurements of the efficienc...

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Main Author: Grzegorz MAKAREWICZ
Format: Article
Language:English
Published: Institute of Fundamental Technological Research Polish Academy of Sciences 2014-04-01
Series:Archives of Acoustics
Subjects:
Online Access:https://acoustics.ippt.pan.pl/index.php/aa/article/view/684
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author Grzegorz MAKAREWICZ
author_facet Grzegorz MAKAREWICZ
author_sort Grzegorz MAKAREWICZ
collection DOAJ
description An active noise control (ANC) system utilizing a genetic algorithm for reduction of noise in duct is described. A continuous genetic algorithm with a heuristic crossover method was applied in the controller of the system. The ANC system was tested on a laboratory stand. Measurements of the efficiency of the system related to basic parameters of the genetic algorithm were performed. A comparison of the effectiveness of ANC system based on the genetic algorithm to the system based on the LMS algorithm is presented.
format Article
id doaj-art-4b4fe25bded342928792f40c5d3bab7a
institution DOAJ
issn 0137-5075
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language English
publishDate 2014-04-01
publisher Institute of Fundamental Technological Research Polish Academy of Sciences
record_format Article
series Archives of Acoustics
spelling doaj-art-4b4fe25bded342928792f40c5d3bab7a2025-08-20T02:39:18ZengInstitute of Fundamental Technological Research Polish Academy of SciencesArchives of Acoustics0137-50752300-262X2014-04-01324Application of genetic algorithmbin an active noise control systemGrzegorz MAKAREWICZ0Central Institute for Labour Protection - National Research Institute Department of VibroacousticsAn active noise control (ANC) system utilizing a genetic algorithm for reduction of noise in duct is described. A continuous genetic algorithm with a heuristic crossover method was applied in the controller of the system. The ANC system was tested on a laboratory stand. Measurements of the efficiency of the system related to basic parameters of the genetic algorithm were performed. A comparison of the effectiveness of ANC system based on the genetic algorithm to the system based on the LMS algorithm is presented.https://acoustics.ippt.pan.pl/index.php/aa/article/view/684genetic algorithmactive noise controlactive noise reductioncrossoverLMS algorithm
spellingShingle Grzegorz MAKAREWICZ
Application of genetic algorithmbin an active noise control system
Archives of Acoustics
genetic algorithm
active noise control
active noise reduction
crossover
LMS algorithm
title Application of genetic algorithmbin an active noise control system
title_full Application of genetic algorithmbin an active noise control system
title_fullStr Application of genetic algorithmbin an active noise control system
title_full_unstemmed Application of genetic algorithmbin an active noise control system
title_short Application of genetic algorithmbin an active noise control system
title_sort application of genetic algorithmbin an active noise control system
topic genetic algorithm
active noise control
active noise reduction
crossover
LMS algorithm
url https://acoustics.ippt.pan.pl/index.php/aa/article/view/684
work_keys_str_mv AT grzegorzmakarewicz applicationofgeneticalgorithmbinanactivenoisecontrolsystem