Title :
A self-tuning fuzzy filtered-U algorithm for the application of active noise cancellation
Author :
Chang, Cheng-Yuan ; Shyu, Kuo-Kai
Author_Institution :
Dept. of Electron. Eng., Ching Yun Inst. of Technol., Chung-li, Taiwan
fDate :
9/1/2002 12:00:00 AM
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 :
IIR filters; active noise control; adaptive filters; filtering theory; fuzzy control; fuzzy logic; self-adjusting systems; stability; transfer functions; ANC system; acoustic duct noise; active noise cancellation; active noise control system; adaptive IIR filter; fuzzy filtered-U algorithm; fuzzy logic controller; fuzzy-based self-tuning algorithm; leakage technique; mathematical transfer functions; unstable poles protection; Acoustic noise; Active noise reduction; Adaptive filters; Control systems; Frequency; Fuzzy control; Fuzzy systems; IIR filters; Noise cancellation; Signal generators;
Journal_Title :
Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on
DOI :
10.1109/TCSI.2002.802350