Design and analysis of experimental adaptive feedback system for active noise control (ANC) in a duct
Date Issued
2023-05
Author(s)
Maja Anachkova, Damjan Pecioski, Simona Domazetovska, and Dejan Shishkovski,
DOI
10.55302/MESJ23411662037p
Abstract
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.
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.
Subjects
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