scholarly journals Performance Analysis of Feed Forward Broadband Active Noise Control System using Adaptive Algorithms

IJIREEICE ◽  
2015 ◽  
Vol 3 (6) ◽  
pp. 135-139
Author(s):  
T. Koteswara Rao ◽  
B.Bhaskara Rao
2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Zhang Yulin ◽  
Zhao Xiuyang

To address the limitation of conventional adaptive algorithm used for active noise control (ANC) system, this paper proposed and studied two adaptive algorithms based on Wavelet. The twos are applied to a noise control system including magnetorheological elastomers (MRE), which is a smart viscoelastic material characterized by a complex modulus dependent on vibration frequency and controllable by external magnetic fields. Simulation results reveal that the Decomposition LMS algorithm (D-LMS) and Decomposition and Reconstruction LMS algorithm (DR-LMS) based on Wavelet can significantly improve the noise reduction performance of MRE control system compared with traditional LMS algorithm.


2015 ◽  
Vol 18 (3) ◽  
pp. 61-71
Author(s):  
Ngan Vuong Thuy Nguyen ◽  
Long Duc Tran ◽  
Tho Thi Minh Tran ◽  
Tuan Van Huynh

This paper presents the feed-forward multichannel active noise control which was simulated on LabVIEW and experimented on two channel feed-forward active noise control in real-time. The simulation of feed-forward multichannel active noise control system was built on LabVIEW by using FxLMS algorithm and other algorithms such as Variable Step-size (VSS) and saturation compensation. Moreover, LMS and VSS LMS algorithm were used to train the secondary path in order to improve the convergence speed and stabilization of ANC system in the real-time. The experimental results show that the ANC system in real-time using variable step-size and without using variable step-size algorithm work effectively with noise sources which were synthesized from one to three frequencies. The noise level in these cases decreased around 12 dB - 35 dB and the noise reduction radius measured is about 3 cm around the microphone.


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