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

Cheng Yuan Chang; Kuo Kai Shyu

doi:10.1109/TCSI.2002.802350

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

Cheng Yuan Chang
, Kuo Kai Shyu

電機工程學系

研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

18 引文斯高帕斯（Scopus）

摘要

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.

原文	???core.languages.en_GB???
頁（從 - 到）	1325-1333
頁數	9
期刊	IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications
卷	49
發行號	9
DOIs	https://doi.org/10.1109/TCSI.2002.802350
出版狀態	已出版 - 9月 2002

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10.1109/TCSI.2002.802350

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abstract = "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.",

keywords = "Active noise control, Filtered-U, Fuzzy, Self-tuning",

author = "Chang, \{Cheng Yuan\} and Shyu, \{Kuo Kai\}",

note = "Funding Information: Manuscript received January 17, 2001; revised June 7, 2002. This work was supported by the National Science Council, R. O. C., under Grant NSC-90-2213-E-231-001. This paper was recommended by Associate Editor W. B. Mikhael.",

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AU - Shyu, Kuo Kai

N1 - Funding Information: Manuscript received January 17, 2001; revised June 7, 2002. This work was supported by the National Science Council, R. O. C., under Grant NSC-90-2213-E-231-001. This paper was recommended by Associate Editor W. B. Mikhael.

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N2 - 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.

AB - 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.

KW - Active noise control

KW - Filtered-U

KW - Fuzzy

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JF - IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications

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

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