The Effectiveness of Least Mean Squared-Based Adaptive Algorithms for Active Noise Control System in a Small Confined Space
Active noise control (ANC) is a technique applied to eliminate an unwanted sound by superposing a signal of equal amplitude and opposite phase, sometimes defined as an anti-noise signal, computed through an adaptive algorithm. The study described herein aims to evaluate and compare the performance o...
Main Authors: | , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-10-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/13/20/11173 |
_version_ | 1797574897109565440 |
---|---|
author | Francesco Mori Andrea Santoni Patrizio Fausti Francesco Pompoli Paolo Bonfiglio Pietro Nataletti |
author_facet | Francesco Mori Andrea Santoni Patrizio Fausti Francesco Pompoli Paolo Bonfiglio Pietro Nataletti |
author_sort | Francesco Mori |
collection | DOAJ |
description | Active noise control (ANC) is a technique applied to eliminate an unwanted sound by superposing a signal of equal amplitude and opposite phase, sometimes defined as an anti-noise signal, computed through an adaptive algorithm. The study described herein aims to evaluate and compare the performance of some of the most popular algorithms based on the least mean squares (LMS) approach applied to a multichannel active noise control system in a small, enclosed space. The comparison is conducted through an experimental evaluation of the ANC algorithms’ performance, carried out on a tractor cabin in a hemi-anechoic chamber, generating the unwanted sound field using a dodecahedron sound source placed outside the enclosure, emitting narrowband and broadband signals. The experimental analysis and the comparison with the results obtained in a free field condition have made it possible to show certain practical limitations when implementing the algorithms. The results show that the feed-forward systems allow for greater stability, avoiding the acoustic feedback from the control loudspeakers to the reference microphone when this is outside the cabin, while the feedback system is the slowest configuration to converge, requiring an internal modeling of the reference signal. With random signals, the feed-forward systems concentrate their performance in the range above 500 Hz, while the feedback system becomes ineffective. |
first_indexed | 2024-03-10T21:28:34Z |
format | Article |
id | doaj.art-9bf3697b67af4f57b022f58c955999a7 |
institution | Directory Open Access Journal |
issn | 2076-3417 |
language | English |
last_indexed | 2024-03-10T21:28:34Z |
publishDate | 2023-10-01 |
publisher | MDPI AG |
record_format | Article |
series | Applied Sciences |
spelling | doaj.art-9bf3697b67af4f57b022f58c955999a72023-11-19T15:29:34ZengMDPI AGApplied Sciences2076-34172023-10-0113201117310.3390/app132011173The Effectiveness of Least Mean Squared-Based Adaptive Algorithms for Active Noise Control System in a Small Confined SpaceFrancesco Mori0Andrea Santoni1Patrizio Fausti2Francesco Pompoli3Paolo Bonfiglio4Pietro Nataletti5Department of Engineering, University of Ferrara, 44122 Ferrara, ItalyDepartment of Engineering, University of Ferrara, 44122 Ferrara, ItalyDepartment of Engineering, University of Ferrara, 44122 Ferrara, ItalyDepartment of Engineering, University of Ferrara, 44122 Ferrara, ItalyMateriacustica s.r.l., 44122 Ferrara, ItalyNational Institute for Insurance against Accidents at Work (INAIL), Monte Porzio Catone, 00078 Rome, ItalyActive noise control (ANC) is a technique applied to eliminate an unwanted sound by superposing a signal of equal amplitude and opposite phase, sometimes defined as an anti-noise signal, computed through an adaptive algorithm. The study described herein aims to evaluate and compare the performance of some of the most popular algorithms based on the least mean squares (LMS) approach applied to a multichannel active noise control system in a small, enclosed space. The comparison is conducted through an experimental evaluation of the ANC algorithms’ performance, carried out on a tractor cabin in a hemi-anechoic chamber, generating the unwanted sound field using a dodecahedron sound source placed outside the enclosure, emitting narrowband and broadband signals. The experimental analysis and the comparison with the results obtained in a free field condition have made it possible to show certain practical limitations when implementing the algorithms. The results show that the feed-forward systems allow for greater stability, avoiding the acoustic feedback from the control loudspeakers to the reference microphone when this is outside the cabin, while the feedback system is the slowest configuration to converge, requiring an internal modeling of the reference signal. With random signals, the feed-forward systems concentrate their performance in the range above 500 Hz, while the feedback system becomes ineffective.https://www.mdpi.com/2076-3417/13/20/11173active noise controlmultichannel systemsLMSenclosure |
spellingShingle | Francesco Mori Andrea Santoni Patrizio Fausti Francesco Pompoli Paolo Bonfiglio Pietro Nataletti The Effectiveness of Least Mean Squared-Based Adaptive Algorithms for Active Noise Control System in a Small Confined Space Applied Sciences active noise control multichannel systems LMS enclosure |
title | The Effectiveness of Least Mean Squared-Based Adaptive Algorithms for Active Noise Control System in a Small Confined Space |
title_full | The Effectiveness of Least Mean Squared-Based Adaptive Algorithms for Active Noise Control System in a Small Confined Space |
title_fullStr | The Effectiveness of Least Mean Squared-Based Adaptive Algorithms for Active Noise Control System in a Small Confined Space |
title_full_unstemmed | The Effectiveness of Least Mean Squared-Based Adaptive Algorithms for Active Noise Control System in a Small Confined Space |
title_short | The Effectiveness of Least Mean Squared-Based Adaptive Algorithms for Active Noise Control System in a Small Confined Space |
title_sort | effectiveness of least mean squared based adaptive algorithms for active noise control system in a small confined space |
topic | active noise control multichannel systems LMS enclosure |
url | https://www.mdpi.com/2076-3417/13/20/11173 |
work_keys_str_mv | AT francescomori theeffectivenessofleastmeansquaredbasedadaptivealgorithmsforactivenoisecontrolsysteminasmallconfinedspace AT andreasantoni theeffectivenessofleastmeansquaredbasedadaptivealgorithmsforactivenoisecontrolsysteminasmallconfinedspace AT patriziofausti theeffectivenessofleastmeansquaredbasedadaptivealgorithmsforactivenoisecontrolsysteminasmallconfinedspace AT francescopompoli theeffectivenessofleastmeansquaredbasedadaptivealgorithmsforactivenoisecontrolsysteminasmallconfinedspace AT paolobonfiglio theeffectivenessofleastmeansquaredbasedadaptivealgorithmsforactivenoisecontrolsysteminasmallconfinedspace AT pietronataletti theeffectivenessofleastmeansquaredbasedadaptivealgorithmsforactivenoisecontrolsysteminasmallconfinedspace AT francescomori effectivenessofleastmeansquaredbasedadaptivealgorithmsforactivenoisecontrolsysteminasmallconfinedspace AT andreasantoni effectivenessofleastmeansquaredbasedadaptivealgorithmsforactivenoisecontrolsysteminasmallconfinedspace AT patriziofausti effectivenessofleastmeansquaredbasedadaptivealgorithmsforactivenoisecontrolsysteminasmallconfinedspace AT francescopompoli effectivenessofleastmeansquaredbasedadaptivealgorithmsforactivenoisecontrolsysteminasmallconfinedspace AT paolobonfiglio effectivenessofleastmeansquaredbasedadaptivealgorithmsforactivenoisecontrolsysteminasmallconfinedspace AT pietronataletti effectivenessofleastmeansquaredbasedadaptivealgorithmsforactivenoisecontrolsysteminasmallconfinedspace |