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An Active Noise Control Case Study: Comparison between of Robust Controller and Adaptive Fuzzy Neural Network

Publish Year: 1390
Type: Conference paper
Language: English
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SASTECH05_255

Index date: 12 August 2012

An Active Noise Control Case Study: Comparison between of Robust Controller and Adaptive Fuzzy Neural Network abstract

Base on the principle of the superposition of waves, Active Noise Control (ANC) is achieved by adaptively tuning a secondary source which produces an anti-noise of equal amplitude and opposite phase with primary source. The purpose of this paper is to compare different controlling methods -Adaptive Fuzzy Neural Network controller and Robust Controller- for ANC. By the combination of fuzzy neural network with error back propagation algorithm in order to control secondary source, the acoustic attenuation in a duct is analyzed. While in the other method, a feedback active noise control based on robust analyses and control is designed. Obtained results of comparison demonstrate the robust controller successfully satisfies the desired robust performance

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An Active Noise Control Case Study: Comparison between of Robust Controller and Adaptive Fuzzy Neural Network authors

Mohammad Reza Gharib

Ferdowsi University of Mashhad

A Farshidianfar

Ferdowsi University of Mashhad

Seyyed Alireza Seyyed Mousavi

Islamic Azad University, Mashhad Branch,

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