A Computationally Efficient Multichannel Active Road Noise Control System

Duan, Jie; Li, Mingfeng; Lim, Teik C.; Lee, Ming-Ran; Cheng, Ming-Te; Vanhaaften, Wayne; Abe, Takeshi

doi:10.1115/1.4028183

Cited by 13 publications

(4 citation statements)

References 13 publications

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“…This causes an increase in computational complexity of adaptive algorithms using secondary path models. This can be solved by applying computationally efficient methods such as using the form of an infinite impulse response (IIR) filter for modeling the secondary path or operating the process in the frequency domain [16]. As this paper was not concerned about the computational burden, the secondary path model was designed as a finite impulse response (FIR) filter form, and all signals were handled in the time domain.…”

Section: Arnc Using An Esg 21 a Pair Of An Esg And A Cowl Panelmentioning

confidence: 99%

A Feasibility Study of an ESG to Suppress Road Noise of a Car

et al. 2022

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This study considered implementing an active road noise control (ARNC) system using an electronic sound generator (ESG) as a secondary actuator to suppress road noise in a car cabin. The ESG was installed to the cowl panel of a test car to generate structure-borne anti-noise by vibrating the panel. A robust multiple-reference single-input single-output (MR-SISO) ARNC algorithm based on the FxLMS was designed. Four 3-axis accelerometers and a microphone were adopted to acquire the reference signals and the error signal for the control algorithm. The radiated sound pressure from the ESG–cowl pair was high enough to suppress the road noise at a car speed of 60 kph. The optimized least number of reference signals and their locations were determined after computer simulation from the measured primary path data. Real-time control experiments showed an A-weighted sound pressure level reduction of 6.0 dB in the average of three dominant road booming noises in 100–250 Hz with the four optimized reference signals at 60 kph. More reference signals gave a further reduction such as 8.3 dB with 12 reference signals. Thus, this study suggests that the ESG coupled with the cowl panel can be an affordable alternative as a secondary actuator in an ARNC system to suppress road noise in a car.

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Section: Arnc Using An Esg 21 a Pair Of An Esg And A Cowl Panelmentioning

confidence: 99%

A Feasibility Study of an ESG to Suppress Road Noise of a Car

et al. 2022

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“…From (12) and using the boundedness of the signals, we find an upper bound for the norm of the error term Á.t/ as follows:…”

Section: Proofmentioning

confidence: 99%

“…In high-accuracy tracking systems, the identification and rejection of vibrational disturbances is crucial. In acoustic systems where low-frequency noise cannot be suppressed by passive absorbers, feedback control can be used to generate anti-noise and enhance the comfort level of an environment [10][11][12][13]. Performance of laser beam control systems is often adversely affected by vibrational disturbances that arise from the medium of propagation and structural vibrations in the platform.…”

Section: Introductionmentioning

confidence: 99%

Rejection of unknown periodic disturbances for continuous‐time MIMO systems with dynamic uncertainties

Jafari

Ioannou

2016

Adaptive Control & Signal

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Rejection of unknown periodic disturbances in multi-channel systems has several industrial applications that include aerospace, consumer electronics, and many other industries. This paper presents a design and analysis of an output-feedback robust adaptive controller for multi-input multi-output continuous-time systems in the presence of modeling errors and broadband output noise. The trade-off between robust stability and performance improvement as well as practical design considerations for performance improvements are presented. It is demonstrated that proper shaping of the open-loop plant singular values as well as over-parameterizing the controller parametric model can significantly improve performance. Numerical simulations are performed to demonstrate the effectiveness of the proposed scheme.

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“…In Duan et al. (2013, 2014a,b), active noise control algorithms have been developed for the reduction of road noise inside a vehicle cabin.…”

Section: Introductionmentioning

confidence: 99%

Adaptive feedback suppression of unknown periodic components of acoustic noises with time-varying characteristics

Jafari

Ioannou

Rudd

2016

Journal of Vibration and Control

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Effective attenuation of the noise level is an important problem in acoustic systems. In this paper, we propose a robust adaptive output feedback control scheme that can considerably attenuate narrow-band noises made up of periodic signals mixed with random noise in the presence of modeling uncertainties. The amplitude, phase and frequencies as well as the number of periodic terms are unknown and could vary with time. The performance and robustness of the proposed scheme with respect to unstructured modeling uncertainties are analyzed for continuous-time single-input, single-output systems; the results, however, are extendable to multi-channel systems. The successful attenuation of the unknown periodic components of the disturbance despite the time variations, modeling errors, and random noise is demonstrated using simulations. In addition, guidelines how to choose certain design parameters for performance improvement have been presented.

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A Computationally Efficient Multichannel Active Road Noise Control System

Cited by 13 publications

References 13 publications

A Feasibility Study of an ESG to Suppress Road Noise of a Car

A Feasibility Study of an ESG to Suppress Road Noise of a Car

Rejection of unknown periodic disturbances for continuous‐time MIMO systems with dynamic uncertainties

Adaptive feedback suppression of unknown periodic components of acoustic noises with time-varying characteristics

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