سال انتشار: ۱۳۹۰

محل انتشار: پنجمین کنفرانس بین المللی پیشرفتهای علوم و تکنولوژی

تعداد صفحات: ۸

نویسنده(ها):

Mohammad Reza Gharib – Ferdowsi University of Mashhad
A Farshidianfar – Ferdowsi University of Mashhad
Seyyed Alireza Seyyed Mousavi – Islamic Azad University, Mashhad Branch,
Amir Reza Momeni Heravi –

چکیده:

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