Skip to main content
SpringerLink
Log in

Active Noise Control Using a Body-Mounted Vibration Actuator to Enhance the Interior Sound of Vehicle

  • Published:
International Journal of Automotive Technology Aims and scope Submit manuscript

Abstract

This paper suggests an active sound control system using vibration actuators and microphones, called an active Vibro-acoustic enhancement (AVAE), to obtain a desired engine sound in a vehicle while the vehicle is running up. In this system, the actuator is located on a body panel suitable for transmitting a sufficient level of sound to an interior room. Exciting a thin body panel is advantageous in producing a low frequency sound, but makes it difficult to secure control performance and stability due to the long impulse response function. To overcome this drawback, several methods are adopted for AVAE in addition to the conventional FxLMS algorithm and each effect is compared together in simple noise reduction cases. Finally, this AVAE system is demonstrated through the driving test of a vehicle. From the results, this system is expected to become an alternative way to the active noise control system using acoustic speakers for noise cancellation or target sound tracking in a vehicle.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

Abbreviations

w(n):

filter coefficient vector at the nth sample time

e(n):

residual error signal at the nth sample time

x′(n):

filtered reference signal vector at the nth sample time

μ(n):

variable step size at the nth sample time

E e (n):

energy of the residual error signal

\(\tilde \mu \) :

fixed step size

δ :

small positive number

γ :

leakage factor

λ :

forgetting factor

R :

autocorrelation matrix of input signal

Λ :

diagonal matrix of eigenvalues of R

Q :

matrix of eigenvectors of R

ŝ(n):

impulse response of the secondary path modeling filter

Ŝ(z):

the secondary path modeling filter

S(z):

actual system of the secondary path

P(z):

actual system of the primary path

References

  • Aboulnasr, T. and Mayyas, K. (1997). A robust variable step-size LMS-type algorithm: analysis and simulations. IEEE Trans. Signal Processing 45, 3, 631–639.

    Article  Google Scholar 

  • Akhtar, M. T. and Mitsuhashi, W. (2010). A modified normalized FxLMS algorithm for active control of impulsive noise. 18th European Signal Processing Conf. (EUSIPCO). Aalborg, Denmark.

  • Benoit, B., Camastra, C., Kenny, M., Li, K., Romanowski, R and Kevin, S. (2012). Engineering silence: Active noise cancellation. North Carolina State University.

  • Beranek, L. L. and Vér, I. L. (1992). Noise and vibration control engineering: principles and applications. Wiley-Interscience. Hoboken, NJ, USA.

    Google Scholar 

  • Da Silva, S. (2011). Non-parametric identification of mechanical systems by Kautz filter with multiple poles. Mechanical Systems and Signal Processing 25, 4, 1103–1111.

    Article  Google Scholar 

  • Kowalczyk, K., Svaricek, F., Bohn, C. and Karkosch, H. (2004). An overview of recent automotive applications in active vibration control. Proc. RTO AVT Symp. Habitability of Combat and Transport Vehicles: Noise, Vibration and Motion. RTO-MP-AVT-110.

  • Kuo, S. M. and Morgan, D. R. (1999). Active noise control: a tutorial review. Proc. IEEE 87, 6, 943–973.

    Article  Google Scholar 

  • Ljung, L. (1998). System identification: Theory for the user. 2nd edn. Pearson. New York, NY, USA.

    MATH  Google Scholar 

  • Mayyas, K. A. and Aboulnasr, T. (1995). Leaky LMS: A detailed analysis. Proc. Int. Symp. Circuits And Systems (ISCAS). Seattle, WA, USA.

  • Schirmacher, R. (2015). Current status and future developments of ANC systems. SAE Int. J. Passenger Cars-Mechanical Systems 8, 2015-01-2223, 592–896.

    Article  Google Scholar 

  • Widrow, B., Glover, J. R., McCool, J. M., Kaunitz, J., Williams, C. S., Hearn, R. H., Zeidler, J. R., Dong Jr., E. and Goodlin, R. C. (1975). Adaptive noise cancelling: Principles and applications. Proc. IEEE 63, 12, 1692–1716.

    Article  Google Scholar 

Download references

Acknowledgement

The authors are grateful to the ISVR members at the University of Southampton who provided advice and help in this test.

Author information

Authors and Affiliations

  1. Sound Design R-Lab, Hyundai Motor R&D, 150 Hyundai-ro, Namyang-eup, Hwaseong-si, Gyeonggi, 18280, Korea

    Kyoung-Jin Chang & Dong Chul Park

  2. Department of Imbedded System Engineering, Incheon University, Incheon, 22012, Korea

    Young-Sup Lee

Authors
  1. Kyoung-Jin Chang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Dong Chul Park
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Young-Sup Lee
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Kyoung-Jin Chang.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chang, KJ., Park, D.C. & Lee, YS. Active Noise Control Using a Body-Mounted Vibration Actuator to Enhance the Interior Sound of Vehicle. Int.J Automot. Technol. 23, 327–333 (2022). https://doi.org/10.1007/s12239-022-0030-1

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12239-022-0030-1

Key Words

Search

Navigation