Multi-Channel Active Noise Control System Designs with Fuzzy Logic Stabilized Algorithms

Dong Jun Ahn; Keun Sik Kim; Hyun Do Nam; Eun Woo Shin

doi:10.4028/www.scientific.net/AEF.2-3.96

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HomeAdvanced Engineering ForumAdvanced Engineering Forum Vols. 2-3Multi-Channel Active Noise Control System Designs...

Multi-Channel Active Noise Control System Designs with Fuzzy Logic Stabilized Algorithms

Abstract:

In active noise control filter, IIR filter structure which used for control filter assures the stability property. The stability characteristics of IIR filter structure is mainly determined by pole location of control filter within unit disc, so stable selection of the value of control filter coefficient is very important. In this paper, we proposed novel adaptive stabilized Filtered_U LMS algorithms with IIR filter structure which has better convergence speed and less computational burden than conventional FIR structures, for multi-channel active noise control with vehicle enclosure signal case. For better convergence speed in adaptive algorithms, fuzzy LMS algorithms where convergence coefficient computed by a fuzzy PI type controller was proposed.

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Periodical:

Advanced Engineering Forum (Volumes 2-3)

Pages:

96-101

DOI:

https://doi.org/10.4028/www.scientific.net/AEF.2-3.96

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Online since:

December 2011

Authors:

Dong Jun Ahn, Keun Sik Kim, Hyun Do Nam, Eun Woo Shin

Keywords:

Active Noise Control, Adaptive Filter, Fuzzy Logic, IIR Filter, Multi Channel LMS Algorithm, Stabilized Algorithm

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