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Quadratic least-squares formulation for a local active noise control with stochastic domain and noise source

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Airaksinen, T., & Toivanen, J. (2012). Quadratic least-squares formulation for a local active noise control with stochastic domain and noise source. In J. Eberhardsteiner, H. Böhm, & F. Rammerstorfer (Eds.), Proceedings of the 6th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2012). Wien: Vienna University of Technology.
Authors
Airaksinen, Tuomas |
Toivanen, Jari
Date
2012
Discipline
Tietotekniikka

 
A local active noise control method that uses stochastic numerical acoustical modeling is introduced. The frequency domain acoustical simulations are performed by a sequence solutions to Helmholtz equations approximated by FEM. The proposed ANC method maps microphone measurements linearly to the output signals of antinoise actuators. The matrix defining the linear mapping is optimized for each frequency to minimize expected value of the noise. The paper concentrates on defining the quadratic least-squares optimization problem for the minimization of the sound pressure field in the silet region. The formulation leads to a robust and accurate noise control in stochastic domains that has a stochastic noise source. The method is demonstrated numerically by an experiment in a car cabin, and significant noise reduction is demonstrated at lower frequencies.
Publisher
Vienna University of Technology
Is part of publication
Proceedings of the 6th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2012). Edited by J. Eberhardsteiner, H. Böhm, & F. Rammerstorfer. ISBN 978-3-9502481-9-7. (CD-ROM)
Keywords
local sound control stochastic domain Helmholtz equation finite element method passenger car quadratic optimization
URI

http://urn.fi/URN:NBN:fi:jyu-201209202458

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  • Informaatioteknologian tiedekunta [1793]

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