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...

Full description

Bibliographic Details
Main Authors: Francesco Mori, Andrea Santoni, Patrizio Fausti, Francesco Pompoli, Paolo Bonfiglio, Pietro Nataletti
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