| Title |
Stabilized Multi-Channel Adaptive IIR Filters for Active Mufflers |
| Authors |
Hyun-do Nam ; Sung-Dae Seo ; Kyung-Uk Bang |
| Keywords |
active noise control ; active muffler ; DSP ; Multi-channel stabilized IIR filter ; RLMS |
| Abstract |
In this paper, implementation of active mufflers using multiple channel adaptive IIR filter is presented. Usually, recursive LMS(RLMS) algorithms for adaptive IIR filters are highly efficient than filtered-X LMS(FXLMS) algorithms, when the order of both algorithms are the same. However, RLMS algorithms usually diverge before the algorithms arenot yet converged. So, the prefilters are presented to improve the stability by pulling the poles of feedback control transfer function in the beginning of active noise control and returning the original poles after the filters converge. The engine noises of diesel engine automobiles and gasoline engine automobiles are analyzed and the mathematical model of an active muffler is derived. Computer simulations and experiments are performed to show the effectiveness of the proposed systems. |