Active Sound Control in the Automotive Interior

Cheer, Jordan

doi:10.1007/978-3-030-51044-2_3

Cited by 12 publications

(9 citation statements)

References 28 publications

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“…Active Noise Control (ANC) or noise-canceling is based on destructive interference and is a subject of longstanding research [268,269]. The growing importance of user comfort and product development focused on ergonomic and NVH performance [270] increase the efforts to control vibration and noise. The need for AVC and ANC is greater in the low-frequency ranges, where the application of passive control is limited [271].…”

Section: Active Control Powered By Machine Learningmentioning

confidence: 99%

A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic

Cunha¹,

Droz²,

Zine³

et al. 2022

Preprint

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The use of Machine Learning (ML) has rapidly spread across several fields, having encountered many applications in Structural Dynamics and Vibroacoustic (SD&V). The increasing capabilities of ML to unveil insights from data, driven by unprecedented data availability, algorithms advances and computational power, enhance decision making, uncertainty handling, patterns recognition and real-time assessments. Three main applications in SD&V have taken advantage of these benefits. In Structural Health Monitoring, ML detection and prognosis lead to safe operation and optimized maintenance schedules. System identification and control design are leveraged by ML techniques in Active Noise Control and Active Vibration Control. Finally, the so-called ML-based surrogate models provide fast alternatives to costly simulations, enabling robust and optimized product design. Despite the many works in the area, they have not been reviewed and analyzed. Therefore, to keep track and understand this ongoing integration of fields, this paper presents a survey of ML applications in SD&V analyses, shedding light on the current state of implementation and emerging opportunities. The main methodologies, advantages, limitations, and recommendations based on scientific knowledge were identified for each of the three applications. Moreover, the paper considers the role of Digital Twins and Physics Guided ML to overcome current challenges and power future research progress. As a result, the survey provides a broad overview of the present landscape of ML applied in SD&V and guides the reader to an advanced understanding of progress and prospects in the field.

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Section: Active Control Powered By Machine Learningmentioning

confidence: 99%

A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic

Cunha¹,

Droz²,

Zine³

et al. 2022

Preprint

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“…It is possible to find a multitude of different applications that exploit active control technologies in order to reduce and modify the sound field: for example, active control has been applied to reduce: the noise produced by a fan [10], the narrowband noise generated by the propellers of an aircraft [11], the acoustic excitation generated by a helicopter transmission [12], the noise in a tractor cabin [13], or general environmental noise experienced when wearing headphones [14]. Active control systems have attracted a lot of interest and attention in the automotive field as they do not require the addition of heavy or bulky materials that would compromise the performance and fuel consumption of the car [15][16][17]. Research in this area has focused on two issues: control of engine-generated noise [18][19][20], i.e.…”

Section: Introductionmentioning

confidence: 99%

Investigation of an engine order noise cancellation system in a super sports car

Ferrari

Cheer

Mautone³

2023

Acta Acust.

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Today’s cars must meet ever-higher acoustic standards, and so, to avoid compromising vehicle dynamics, handling performance and fuel consumption, standard passive methods alone do not provide sufficient performance. Active control solutions can provide a potential solution to this challenge, particularly at low frequency and such systems have been investigated for application to small cars, SUVs and luxury vehicles. These vehicles are generally characterised by fairly slow dynamics and limited noise emission and, therefore, this paper explores the challenging application of active noise control to a two-seat super sports car equipped with a naturally aspirated engine. This work aims to track and then control sounds characterised by extremely rapid frequency variation rates, up to peaks of over 80 Hz/s, and high sound pressure levels. A multi-channel, multi-order FxLMS based control system has been implemented, which has been modified to optimise performance for this application by including both convergence gain and leakage scheduling, to achieve effective control at the driver’s and passenger’s ears. To evaluate the performance of the controller, its performance has been simulated when applied to measurements taken under several vehicle manoeuvres, ranging from conventional constant engine speed to very fast engine run-ups. From the presented results, it is shown that the system can obtain high levels of control during the manoeuvre set, with the controller reducing the overall sound pressure level by more than 10 dB at certain frequencies when analysing a single order, and it reduces the overall loudness by around 5% in all of the analysed cases.

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“…Over the past three decades, active noise control (ANC) has been widely researched to reduce engine, intake or exhaust, and road noise in passenger cars [1]- [4]. In particular, ANC for the suppression of engine noise has been actively applied to mass-produced vehicles.…”

Section: Introductionmentioning

confidence: 99%

“…In particular, ANC for the suppression of engine noise has been actively applied to mass-produced vehicles. Using ANC to suppress road noise has also been actively researched for mass production over the past decade [4] and recently adopted [5], [6] because ANC can efficiently attenuate low-frequency noise without significant structural modification or additional weight increases. In an early study of ANC for engine noise, Elliott et al [7] presented an active control system to suppress the engine firing order.…”

Section: Introductionmentioning

confidence: 99%

Comprehensive Active Control of Booming Noise Inside a Vehicle Caused by the Engine and the Driveline

Kim¹,

Altınsoy²

2022

IEEE Access

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Active Sound Control in the Automotive Interior

Cited by 12 publications

References 28 publications

A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic

A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic

Investigation of an engine order noise cancellation system in a super sports car

Comprehensive Active Control of Booming Noise Inside a Vehicle Caused by the Engine and the Driveline

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