A self-tuning fuzzy filtered-U algorithm for the application of active noise cancellation

This paper presents a fuzzy filtered-U algorithm for an active noise control (ANC) system. Instead of complex designing procedures, the proposed approach uses few mathematical transfer functions to design the ANC system. A fuzzy-based self-tuning algorithm is also provided in this paper to adjust th...

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Published inIEEE transactions on circuits and systems. 1, Fundamental theory and applications Vol. 49; no. 9; pp. 1325 - 1333
Main Authors Chang, Cheng-Yuan, Shyu, Kuo-Kai
Format Journal Article
LanguageEnglish
Published New York IEEE 01.09.2002
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Acoustic noise
Active noise reduction
Adaptive filters
Control systems
Frequency
Fuzzy control
Fuzzy systems
IIR filters
Noise cancellation
Signal generators
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ISSN1057-7122
1558-1268
DOI10.1109/TCSI.2002.802350

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Summary:This paper presents a fuzzy filtered-U algorithm for an active noise control (ANC) system. Instead of complex designing procedures, the proposed approach uses few mathematical transfer functions to design the ANC system. A fuzzy-based self-tuning algorithm is also provided in this paper to adjust the free parameters of the fuzzy filtered-U algorithm. In addition, the proposed method protects ANC systems against unstable poles such as occur in conventional filtered-U design. Finally, direct numerical simulations through the applications of duct noise demonstrate the effectiveness of the scheme.
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ISSN:1057-7122
1558-1268
DOI:10.1109/TCSI.2002.802350