Active Noise Control for PVC Duct Using Robust Feedback Neutralization F×LMS Approach

Turpati, Suman; Moram, Venkatanarayana

doi:10.1007/s40313-021-00753-6

Cited by 5 publications

(2 citation statements)

References 23 publications

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“…In [9], the attenuation of sound propagation in an air-handling duct using robust and adaptive feedback active noise control strategies is investigated, with experimental results on active noise control in duct test bench. Paper [10] aims to design and analyze ANC performance in PVC duct experimentally for reducing periodic background noises, where a HMVSS method is proposed and developed in the feedback neutralization FxLMS algorithm. Within paper [11], a statistical approach to online secondary path modeling in active noise control is proposed.…”

Section: Introductionmentioning

confidence: 99%

Design and analysis of experimental adaptive feedback system for active noise control (ANC) in a duct

Anachkova¹,

Pecioski²,

Domazetovska³

et al. 2023

J., mech. eng. autom., control. syst.

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The limitations of passive noise control methods impose a need for new technical solutions to solve the problem of reducing low-frequency noise, which is considered to be a dominant component of noise disturbance. In recent years, the subject of intensive research are the active noise control systems, which have aroused considerable interest and represent a promising solution to the problem of low-frequency noise control. This paper proposes a robust methodology for simplified design and analysis of an experimental active noise control system for real-time control of acoustic environment in a duct. The proposed feedback control model is based on using the LMS algorithm, combined with FxLMS algorithm for estimation and neutralization of the secondary path in the electro-acoustic system. The study shows the potential of the FPGA module and the Real-time module of cRIO from National Instruments, combined with the LabView software environment when applied in adaptive system for active noise control. The reliability and validity of the developed active noise control system is tested for a frequency range of 100 to 1000 [Hz], by measuring the amplitude-time domain in [V] and sound level in [dB]. The comparison of the experimental results shows great efficiency of the system at lower frequency range from 200 to 400 [Hz], where a maximum reduction in sound level achieved at a frequency of 200 [Hz] is 14 [dB] or 17 [%]. A significant sound level reduction is also achieved at both 300 [Hz] and 400 [Hz] which is 12 % or 10 [dB] in both cases. Given the analysis of the challenges and opportunities of the developed active noise control system, recommendations for advancements and future work are proposed.

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Section: Introductionmentioning

confidence: 99%

Design and analysis of experimental adaptive feedback system for active noise control (ANC) in a duct

Anachkova¹,

Pecioski²,

Domazetovska³

et al. 2023

J., mech. eng. autom., control. syst.

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“…And the direction of speakers control signal is called secondary path as shown in Figure 2. Determined the distance between the fan noise to the reference microphone is important for the cancellation process to be completed successfully [17]- [21]. The fan front is the best position of the reference microphone in order to facilitate the controller processes such as the noise signal modifications.…”

Section: Introductionmentioning

confidence: 99%

Duct quiet zones utilization for an enhancement the acoustical air-condition noise control

Kamel

Soliman

AL-Sagheer

2022

IJECE

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<p class="TableParagraph">This paper investigates the duct’s noise distribution pattern due to the heating, ventilation, and air conditioning systems. This study is considering the longitudinal sound wave distribution that can permit a higher reduction of these heating, ventilation, and air conditioning systems duct noise. The proposed technique is depending on the lowest sound pressure level points in the duct or duct quiet zones. Moreover, each heating, ventilation, and air conditioning systems duct has several quiet zones, depending on the sound pressure level of the fan noise source and the duct length as well as the duct diameter. Furthermore, the noise standing wave has a wavelength (λ) which is the distance between two successive quiet zones. This work utilizes orthogonal acoustical noise with the standing wave via feed-forward control speakers. This system confirmed that the distance (λ) is linearly proportional to the duct source noise level. This system noise reduction enhancement has been fulfilled by installing further noise feed-forward control speakers at different duct quiet zones. The system simulation results were displaying satisfactory agreement with the field experimental results.</p>

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A state-of-the-art survey on noise removal in a non-stationary signal using adaptive finite impulse response filtering: challenges, techniques, and applications

Yadav,

Dhawan,

Tiwari

et al. 2024

International Journal of Systems Science

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Active Noise Control for PVC Duct Using Robust Feedback Neutralization F×LMS Approach

Cited by 5 publications

References 23 publications

Design and analysis of experimental adaptive feedback system for active noise control (ANC) in a duct

Design and analysis of experimental adaptive feedback system for active noise control (ANC) in a duct

Duct quiet zones utilization for an enhancement the acoustical air-condition noise control

A state-of-the-art survey on noise removal in a non-stationary signal using adaptive finite impulse response filtering: challenges, techniques, and applications

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