A novel acoustic feedback compensation filter for nonlinear active noise control system

2021 ◽  
Vol 158 ◽  
pp. 107675
Author(s):  
Lei Luo ◽  
Wenzhao Zhu ◽  
Antai Xie
Keyword(s):  
Control System ◽  
Noise Control ◽  
Active Noise Control ◽  
Acoustic Feedback ◽  
Active Noise ◽  
Feedback Compensation

Evaluation of a hybrid active noise control system with acoustic feedback

2010 ◽  
Author(s):  
Edgar Lopez ◽  
Paula Colunga ◽  
Rogelio Bustamante ◽  
Mariko Nakano-Miyatake ◽  
Hector Perez-Meana
Keyword(s):  
Control System ◽  
Noise Control ◽  
Active Noise Control ◽  
Acoustic Feedback ◽  
Active Noise

scholarly journals Fuzzy logic feedforward active noise control with distance ratio and acoustic feedback using Takagi–Sugeon–Kang inference

2019 ◽  
Vol 39 (1) ◽  
pp. 174-189
Author(s):  
Tongrui Peng ◽  
Quanmin Zhu ◽  
M. Osman Tokhi ◽  
Yufeng Yao
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Fuzzy Logic Control ◽  
Noise Control ◽  
Active Noise Control ◽  
Distance Ratio ◽  
Acoustic Feedback ◽  
Logic Control ◽  
Active Noise ◽  
Fxlms Algorithm

Noise, as undesired sound, severely affects the quality of human life. Currently, active noise control method has demonstrated its capability in low-frequency noise cancellation and the advance in saving money and reducing weight and volume of related materials used in the passive noise control technology. The widespread configuration for active noise control technology is finite impulse response filter with filtered-x least mean squares (FxLMS) algorithm. However, the nonlinearities in the secondary path, which mainly arise from sensors, actuators and amplifiers used in the active noise control system, will cause instability and degrade the performance while using the FxLMS algorithm. In order to cope with this challenge, many new approaches have been proposed and fuzzy logic control is one of these. In this paper, a Takagi–Sugeon–Kang-type fuzzy logic control-based feedforward active noise control system with focus on the geometry configuration is introduced. In contrast to previous work, all physical paths are modelled by pure time delay transfer function and the acoustic feedback is added as part of inputs for the fuzzy logic control. Computational experiments are implemented within the Matlab/Simulink platform, and several case studies are presented with time and frequency domain analyses to demonstrate the cancellation ability of the proposed feedforward active noise control system and investigate the influence of distance ratio on the overall noise cancellation performance.

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