Active Noise Control for Aircraft Cabin Seats

Dimino, Ignazio; Colangeli, Claudio; Cuenca, Jacques; Vitiello, P.; Barbarino, Mattia

doi:10.3390/app12115610

Cited by 9 publications

(4 citation statements)

References 21 publications

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“…In this zone, primary sound and secondary sound combine with each other to form residual sound through the principle of destructive sound interference (Fig. (5)). By applying standard adaptive algorithms for active sound control, the residual sound is minimized by adjusting the control sound source (for example, the LMS algorithm minimizes the square of the residual noise).…”

Section: Implementation Of Adaptive Algorithmsmentioning

confidence: 99%

“…The application of active noise control systems can be divided into applications for the reduction of unwanted sound in free space [4], sound reduction in cabin spaces [5], localized noise reduction (headphones) [6] and sound reduction in one-dimensional environment (HVAC systems) [7]. The noise that occurs in cooling or ventilation duct systems (HVAC systems) has a frequency composition with pronounced low frequencies, so passive methods are often insufficiently effective.…”

Section: Introductionmentioning

confidence: 99%

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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: Implementation Of Adaptive Algorithmsmentioning

confidence: 99%

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 first application regards an active headrest system for aircraft cabin seats based on the filtered-X LMS algorithm. This study was carried out in the framework of the Clean Sky 2 Airframe ITD, CASTLE project aiming at developing low-noise technologies to improve cabin acoustic comfort of turbo-prop regional aircraft [1]. The concept is based on the use of a pair of speakers integrated into the headrest of a passenger seat on both sides of the passenger's head to create a local comfort area around the passengers' ears by attenuating the low-frequency noise components.…”

Section: Introductionmentioning

confidence: 99%

Adaptive structures for noise and vibration guidance, monitoring, and control

Dimino¹,

Ciminello²,

Caprio³

et al. 2023

Active and Passive Smart Structures and Integrated Systems XVII

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In this paper an overview is given on some relevant activities performed by CIRA within the field of noise and vibration, guidance, monitoring and control. Conventional microphones, piezoelectric materials and fiber optics are the sensing strategies used for the proposed applications. High level of integrability, wide operational frequency range are just some features that make them particularly suited for noise and vibration, structural monitoring and sensing, micro actuation and harvesting. The first study regards an active headrest system developed for aircraft cabin seats based on the filtered-X LMS algorithm. Experiments carried out on a mock-up of active headrest are described along with noise attenuation results in a representative acoustic field. After that, a structural monitoring application is presented via strain gauges, piezoceramic sensors, and fiber optics. A series of drop tests are executed on a representative model of a flexible fuel tank, that is dropped from a certain height on an instrumented steel plate and equipped with such deformation sensors. Finally, guided elastic waves generated by piezoelectric transducers are investigated for de-icing purposes. The development of such a specific technology has required the assessment of a dedicated approach that is addressed in this paper, along with its level of maturation and possible future developments.

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“…The key to feedforward ANC implementation is the effective estimation of the secondary path, which is understood as an adaptive filter to produce a phase-countering sound for the noise canceling at the error microphone. Currently, the most-preferred filter iteration technique is the filtered-x least mean square (FxLMS) algorithm [18] for its efficiency in computation and robustness for either single-channel or multi-channel applications [14,19,20].…”

Section: Introductionmentioning

confidence: 99%

Directional Suppression of Monotone Noises with A Parametric Array Loudspeaker

et al. 2023

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Monotone noises at high decibels have been identified as a main cause of degradation in people’s mental health. This paper proposes a directional monotone noise reduction method to suppress spatially localized single-frequency noises. The system is designed based on a feedforward active noise control (ANC) structure by implementing filtered-x least mean square (FxLMS) algorithms. Compared with traditional ANC methods, our system employs a parametric array loudspeaker (PAL) as the active noise-canceling source with high audio directivity for directional noise suppression. The system monitors the ambient monotone noise and implements the ANC algorithm in real-time through a software-based platform operating on a generic personal computer (PC). Experimental measurements demonstrate an 8dB reduction of different monotone noises at a 260cm distance from the active source. Compared with traditional ANC methods with a voice coil loudspeaker (VCL) as the noise-canceling source, our PAL-based system achieves similar noise suppression performance with a 5.8 times improvement in the source-to-target distance and 64% reduction in the −3dB audio main lobe beam width. The results prove the advantage of introducing PALs as active-noise-canceling sources for monotone noise suppression with a cost-effective enhancement in operating distances and noise control directivities.

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Active Noise Control for Aircraft Cabin Seats

Cited by 9 publications

References 21 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

Adaptive structures for noise and vibration guidance, monitoring, and control

Directional Suppression of Monotone Noises with A Parametric Array Loudspeaker

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