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

Cheng Yuan Chang, Kuo Kai Shyu

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

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.

Original languageEnglish
Pages (from-to)1325-1333
Number of pages9
JournalIEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications
Volume49
Issue number9
DOIs
StatePublished - Sep 2002

Keywords

  • Active noise control
  • Filtered-U
  • Fuzzy
  • Self-tuning

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