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Improvement Noise Attenuation Performance of the Active Noise Control System Using RCMAC  

Han, S.I. (동아대학교 전기공학과)
Yeo, D.Y. (동아대학교 대학원)
Kim, S.H. (동아대학교 대학원)
Lee, K.S. (동아대학교 전기공학과)
Publication Information
Journal of Power System Engineering / v.14, no.5, 2010 , pp. 56-62 More about this Journal
Abstract
In this paper, a recurrent cerebellar modulation articulation control (RCMAC) has been developed for improvement of noise attenuation performance in active noise control system. For the narrow band noise, a filter-x least mean square (FXLMS) method has bee frequently employed as an algorithm for active noise control (ANC) and has a partial satisfactory noise attenuation performance. However, noise attenuation performance of an ANC system with FXLMS method is poor for broad band noise and nonlinear path since it has linear filtering structure. Thus, an ANC system using RCMAC is proposed to improve this problem. Some simulations in duct system using harmonic motor noise and KTX cabin noise as a noise source were executed. It is shown that satisfactory noise attenuation performance can be obtained.
Keywords
Active Noise Control; Recurrent Cerebellar Articulation Controller; Filtered-x Least Mean Square; Duct System; KTX Cabin Noise;
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