Experimental investigation of different active noise control concepts applied to a passenger car equipped with an active windshield

Misol, Malte; Algermissen, Stephan; Monner, Hans Peter

doi:10.1016/j.jsv.2012.01.001

Cited by 29 publications

(16 citation statements)

References 9 publications

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“…(1) Calculating the NN hidden layer output as (6), which requires N multiplications and 1 N  additions.…”

Section: ) Nonlinear Neural Network Control With Lms Algorithmmentioning

confidence: 99%

“…Recently, with advanced digital signal processing techniques, it is possible to obtain better acoustic performance by employing appropriate control approaches [6]. For this purpose, various ANC methods have been used in practical applications [5][6][7][8][9], e.g.…”

Section: Introductionmentioning

confidence: 99%

“…For this purpose, various ANC methods have been used in practical applications [5][6][7][8][9], e.g. vehicle transportation, aircraft engineers, heating, air conditioning duct systems, etc.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive variable step-size neural controller for nonlinear feedback active noise control systems

Thai

Na²,

Guo

et al. 2017

Applied Acoustics

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“…(1) Calculating the NN hidden layer output as (6), which requires N multiplications and 1 N  additions.…”

Section: ) Nonlinear Neural Network Control With Lms Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Adaptive variable step-size neural controller for nonlinear feedback active noise control systems

Thai

Na²,

Guo

et al. 2017

Applied Acoustics

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“…From here, light is shed for researchers to consider each approach depending on their objective. Misol et al [2012] considered differently another comparative study to understand and distinguish the acoustical performance of feedback and feedforward controllers by implementing them on a windshield of a commercial car experimentally. Although comparable results are achieved by both types of controllers, the effectiveness reduces when the vibrating pattern of the windshield becomes more complex.…”

Section: Active Structural Acoustic Controlmentioning

confidence: 99%

Acoustic Metamaterials: A Potential for Cabin Noise Control in Automobiles and Armored Vehicles

Ang

Koh²,

Lee

2016

Int. J. Appl. Mechanics

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The aim of this paper is to provide an overview of the existing industrial practices used for cabin noise control in various industries such as automotive, marine, aerospace, and defense. However, emphasis is placed on automobiles and armored vehicles. Generally, automobile cabins usually constitute of thin structural panels, where the fundamental frequency typically falls below 200[Formula: see text]Hz. If a specific structural mode couples with a specific acoustic mode of the cabin, booming noise occurs. As such, discomfort may be felt by the occupants. Fundamentally, vibroacoustics problems may be minimized if the acoustic modes and the structural modes are decoupled, which is achieved usually by structural modifications or acoustical treatments. However, if excessively performed, the weight limitation of an automobile design will be exceeded; not to mention the adverse effect of increased weight on several factors such as fuel efficiency, mileage life of tires and acceleration of the vehicle. Moreover, current solutions have several drawbacks in low frequency noise control. In light of this, it is of great interest to explore the feasibility of acoustic metamaterials as an alternative with hope to improve cabin noise.

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“…Since then, ANC techniques have been of a considerable research interest. There have been plenty of ANC studies in aircraft [6][7][8][9] and car cabin applications [10][11][12][13][14][15][16][17][18][19]. Aircraft propeller and car engine are typical low frequency noise sources that are considered relatively easy to control by ANC techniques, as engine rotation can be used as a reference signal to the system that controls secondary source actuators.…”

Section: Introductionmentioning

confidence: 99%

An optimal local active noise control method based on stochastic finite element models

Airaksinen

Toivanen

2013

Journal of Sound and Vibration

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An optimal local active noise control method based on stochastic finite element models Airaksinen, T.; Toivanen, J.Airaksinen, T. & Toivanen, J. (2013). An optimal local active noise control method based on stochastic finite element models. Journal of Sound and Vibration, 332 (2013) pp.6924-6933. doi:10.1016/j.jsv.2013 AbstractA new method is presented to obtain a local active noise control that is optimal in stochastic environment. The method uses numerical acoustical modeling that is performed in the frequency domain by using a sequence of finite element discretizations of the Helmholtz equation. The stochasticity of domain geometry and primary noise source is considered. Reference signals from an array of microphones are mapped to secondary loudspeakers, by an off-line optimized linear mapping. The frequency dependent linear mapping is optimized to minimize the expected value of error in a quiet zone, which is approximated by the numerical model and can be interpreted as a stochastic virtual microphone. A least squares formulation leads to a quadratic optimization problem. The presented active noise control method gives robust and efficient noise attenuation, which is demonstrated by a numerical study in a passenger car cabin. The numerical results demonstrate that a significant, stable local noise attenuation of 20-32 dB can be obtained at lower frequencies (< 500 Hz) by two microphones, and 8-36 dB attenuation at frequencies up to 1000 Hz, when 8 microphones are used.

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Experimental investigation of different active noise control concepts applied to a passenger car equipped with an active windshield

Cited by 29 publications

References 9 publications

Adaptive variable step-size neural controller for nonlinear feedback active noise control systems

Adaptive variable step-size neural controller for nonlinear feedback active noise control systems

Acoustic Metamaterials: A Potential for Cabin Noise Control in Automobiles and Armored Vehicles

An optimal local active noise control method based on stochastic finite element models

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