Technical aspects of physical implementation of an active noise control system: challenges and opportunities

Anachkova, Maja; Domazetovska, Simona; Petreski, Zlatko; Gavriloski, Viktor

doi:10.3397/in_2022_0204

Cited by 1 publication

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“…Consequently, to solve this problem, the authors of [22] propose a new ANC structure based on FxNLMS and FxSLMS algorithms to reduce the computational cost of the ANC system. MAJA ANACHKOVA, DAMJAN PECIOSKI, SIMONA DOMAZETOVSKA, DEJAN SHISHKOVSKI active noise control of a one-dimensional acoustic environment, as a continuation of previous research given in [23]. The experimental setup for testing the active noise control system with previously chosen duct geometry, including the implemented hardware units is described.…”

Section: Introductionmentioning

confidence: 98%

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: 98%