Multi-Channel Active Noise Control System Designs with Fuzzy Logic Stabilized Algorithms

Abstract

Abstract. 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. Multi-channel Active Noise control systems Unwanted acoustic noise problems become more and more evident as increased numbers of large industrial equipment such as engines, blowers, fans, transformers, and compressors are in use. Mechanical vibration is another related type of noise that commonly creates problems in all areas of transportation and manufacturing, as well as many household appliances. The traditional approach to acoustic noise control use passive techniques such as enclosures, barriers, and silencers to attenuate the undesired noise. These passive silencers are valued for their high attenuation over broad frequency range, but they are relatively large, costly, and ineffective at low frequencies. The attenuation of passive silencers is low when the acoustic wavelength is large compared to the silencer dimensions, such as body length or lining thickness. ANC systems utilizing a microphone and an electronically driven loud speaker to generate a canceling sound was first proposed in a 1936 patent by Lueg 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 value of control filter coefficient is very important. In this paper, we proposed novel adaptive stabilized fuzzy 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