The System for Active Control of Sound Transmission through a Window Panel – The Concept and Simulation Results

Article Preview

Abstract:

High acoustic insulation windows are common mean to decrease sound transmission to closed spaces. Hence, the improvement of sound insulation of windows is very important research issue. In this paper partial results of research project aimed at synthesis of the window panel with actively controlled sound transmission are presented. Recent stage of the project is focused on the development of multichannel Active Structural Acoustic Control algorithm. High amplitude excitation produces nonlinear vibration effects. Using feedforward control strategy it is convenient to control not only the reference signal spectrum, but also additional frequencies generated as the cause of nonlinearity. Therefore neural network based algorithm is considered. To lower the computational burden of the algorithm, round robin based error backpropagation learning is employed. The results of numerical simulations are presented. Major conclusion of presented part of the research is that the algorithm is capable of controlling a wide-band noise efficiently. Reduction of the computational complexity leads to increased convergence time, not influencing the final value of mean square error.

You might also be interested in these eBooks

Info:

Periodical:

Solid State Phenomena (Volume 248)

Pages:

35-40

Citation:

Online since:

March 2016

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2016 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] S. Pietrzko, Contributions to noise and vibration control technology. Akademia Górniczo-Hutnicza, (2009).

Google Scholar

[2] K. Mazur, M. Pawełczyk, Active Noise Control with a single nonlinear control filter for a vibrating plate with multiple actuators, Archives of Acoustics 38 (4), 2013, 537 – 545.

DOI: 10.2478/aoa-2013-0063

Google Scholar

[3] Ho, Jen Hsuan, A. Berkhoff, Comparison of various decentralised structural and cavity feedback control strategies for transmitted noise reduction through a double panel structure, Journal of Sound and Vibration 333 (7), 2014, 1857 – 1873.

DOI: 10.1016/j.jsv.2013.11.018

Google Scholar

[4] R. L. Clark, C. R. Fuller, A model reference approach for implementing active structural acoustic control, J. Acoust. Soc. Am. 92 (3), 1992, 1534 – 1544.

Google Scholar

[5] P. Gardonio, E. Bianchi, S. J. Elliott, Smart panel with multiple decentralized units for the control of sound transmission. Part III: control system implementation, Journal of Sound and Vibration, 274, 2004, 215 – 232.

DOI: 10.1016/j.jsv.2003.05.006

Google Scholar

[6] P. Górski, M. Kozupa, (2012). Variable Sound Insulation Structure with MFC Elements. Archives of Acoustics, 37 (1), 115 – 120.

DOI: 10.2478/v10168-012-0016-5

Google Scholar

[7] W. K. Gawronski, Actuator and sensor placement for structural testing and control, Journal of Sound and Vibration, 208 (1), 1997, 101 – 109.

DOI: 10.1006/jsvi.1997.1190

Google Scholar

[8] C. R. Fuller, S. D. Snyder, C. H. Hansen, R. J. Silcox, Active control of interior noise in model aircraft fuselages using piezoceramic actuators. AIAA journal 30 (11), 1992, 2613 – 2617.

DOI: 10.2514/3.11275

Google Scholar

[9] P. Belanger, A. Berry, Y. Pasco, O. Robin, Y. St-Amant, S. Rajan, Multi-harmonic active structural acoustic control of a helicopter main transmission noise using the principal component analysis" Applied Acoustics 70 (1), 2007, 153 – 164.

DOI: 10.1016/j.apacoust.2007.12.007

Google Scholar

[10] T. A. Millott, et al., Flight test of active gear-mesh noise control on the S-76 aircraft. Proc. of American Helicopter Society 54th Annual Forum, Washington, DC, May 20-22, (1998).

Google Scholar

[11] Caresta M, Active control of sound radiated by a submarine in bending vibration, Journal of Sound and Vibration 2011; 330(4): 615-624.

DOI: 10.1016/j.jsv.2010.09.006

Google Scholar

[12] W. Dehandschutter, P. Sas, Active control of structure-borne road noise using vibration actuators Journal of Vibration and Acoustics—Transactions of the ASME, 120, 1998, 517–523.

DOI: 10.1115/1.2893860

Google Scholar

[13] T. Weyer, E. Breitbach, O. Heintze, Self-tuning active electromechanical absorbers for tonal noise reduction of a car roof, INTER-NOISE—International Congress and Exhibition on Noise Control Engineering Istanbul, Turkey (2007).

Google Scholar

[14] W. Belgacem, A. Berry, P. Masson, Active vibration control on a quarter-car for cancellation of road noise disturbance, Journal of Sound and Vibration 331 (14), 2012, 3240 – -3254.

DOI: 10.1016/j.jsv.2012.02.030

Google Scholar

[15] T. Krukowicz, Active noise control algorithm based on a neural network and nonlinear input-output system identification model. Archives of Acoustics 35 (2), 2010, 191 – 202.

DOI: 10.2478/v10168-010-0018-0

Google Scholar

[16] T. Krukowicz, Neural fixed-parameter active noise controller for variable frequency tonal noise, Neurocomputing (2013), http: /dx. doi. org/10. 1016/j. neucom. 2013. 05. 007.

DOI: 10.1016/j.neucom.2013.05.007

Google Scholar

[17] R. Tadeusiewicz, Place and role of intelligent systems in computer science, Computer Methods in Materials Science 10 (4), 2010, 193 – 206.

Google Scholar

[18] C. H. Hansen, S. Snyder, X. Qiu, L. Brooks, D. Moreau, Active control of noise and vibration. Vol. 2, CRC Press, (2013).

Google Scholar

[19] S. Snyder, N. Tanaka, Active control of vibration using a neural network, IEEE Trans. on Neural Networks, 6 (1), 1995, 819 – 828.

DOI: 10.1109/72.392246

Google Scholar

[20] Ya-Li Zhou, Qi-Z. Zhang, X. -D. Li, W. -S. Gan, Analysis and DSP implementation of an ANC system using a filtered error neural network, Journal of Sound and Vibration, 285 (1-2), 2005 1 – 25.

DOI: 10.1016/j.jsv.2004.08.007

Google Scholar

[21] M. Michalczyk, M. Wieczorek, Parameterization of adaptive control algorithms for multi-channel active noise control system" Proc. of 58th Open Seminar on Acoustics, OSA, Gdańsk-Jurata, (2011).

Google Scholar