Multi-Channel Active Noise Control System Designs with Fuzzy Logic Stabilized Algorithms
| Periodical | Advanced Engineering Forum (OPEN ACCESS) (Volumes 2 - 3) |
|---|---|
| Main Theme | Mechatronics and Information Technology |
| Edited by | Qingkai Han, Kazuhiko Takahashi, Chang-Hyun Oh and Zhong Luo |
| Pages | 96-101 |
| DOI | 10.4028/www.scientific.net/AEF.2-3.96 |
| Citation | Dong Jun Ahn et al., 2011, Advanced Engineering Forum (OPEN ACCESS), 2-3, 96 |
| Online since | December, 2011 |
| Authors | Dong Jun Ahn, Keun Sik Kim, Hyun Do Nam, Eun Woo Shin |
| Keywords | Active Noise Control, Adaptive Filter, Fuzzy Logic, IIR Filter, Multi Channel LMS Algorithm, Stabilized Algorithm |
In active noise control filter, IIR filter structure which used for control filter assures the stability property. The stability characteristics of IIR filter structure is mainly determined by pole location of control filter within unit disc, so stable selection of the value of control filter coefficient is very important. In this paper, we proposed novel adaptive stabilized Filtered_U LMS algorithms with IIR filter structure which has better convergence speed and less computational burden than conventional FIR structures, for multi-channel active noise control with vehicle enclosure signal case. For better convergence speed in adaptive algorithms, fuzzy LMS algorithms where convergence coefficient computed by a fuzzy PI type controller was proposed.
