Tracking Performance of Active Noise Control System Using SSCF Adaptive Algorithm for Change of Acoustic Path

The core of adaptive active noise control system is the adaptive filter and the corresponding adaptive algorithm, the article described the principle of adaptive filtering for active noise control, focus on derivation of Filtered-XLMS algorithm, using MATLAB simulated and implemented Filtered-XLMS algorithm based adaptive active noise control system, and analyzed the filter length and the convergence factor on system performance.

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Research of Quantum Algorithm for Adaptive Active Noise Control System

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.457-458.196 ◽

2012 ◽

Vol 457-458 ◽

pp. 196-201

Author(s):

Wei Jiang

Keyword(s):

Control System ◽

Adaptive Algorithm ◽

Noise Control ◽

Active Noise Control ◽

Quantum Algorithm ◽

Adaptive Controller ◽

Lms Algorithm ◽

Mean Square ◽

Least Mean Square ◽

Active Noise

Adaptive active noise control based on least mean square (LMS) algorithm is a linear adaptive filter so that it cannot obtain desired noise reduction. Quantum algorithm is combined with noise control to form quantum adaptive controller. Quantum adaptive algorithm is discussed completely and noise control system is simulated in order to analyze the effects of noise control.

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Two-channel adaptive algorithm for active noise control system using simultaneous equations method

Acoustical Science and Technology ◽

10.1250/ast.33.339 ◽

2012 ◽

Vol 33 (6) ◽

pp. 339-347 ◽

Cited By ~ 1

Author(s):

Kensaku Fujii ◽

Yutaka Okamoto ◽

Masahiro Itou ◽

Mitsuji Muneyasu ◽

Masakazu Morimoto

Keyword(s):

Control System ◽

Adaptive Algorithm ◽

Noise Control ◽

Active Noise Control ◽

Simultaneous Equations ◽

Active Noise

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Active Noise Control System Using SSCF Adaptive Algorithm

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss.132.1328 ◽

2012 ◽

Vol 132 (8) ◽

pp. 1328-1333

Author(s):

Masaki Kobayashi ◽

Yusaku Tanaka ◽

Takuma Shimada ◽

Yasunori Nagasaka ◽

Naoto Sasaoka ◽

...

Keyword(s):

Control System ◽

Adaptive Algorithm ◽

Noise Control ◽

Active Noise Control ◽

Active Noise

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On the Optimal Block Length of a Frequency Domain Adaptive Algorithm for an Active Noise Control System Using a Simultaneous Equations Method

Proceedings of the Ninth International Conference on Computational Structures Technology ◽

10.4203/ccp.88.79 ◽

2009 ◽

Author(s):

K. Fujii ◽

Y. Iwamatsu ◽

T. Ujino ◽

M. Muneyasu

Keyword(s):

Control System ◽

Frequency Domain ◽

Adaptive Algorithm ◽

Noise Control ◽

Active Noise Control ◽

Simultaneous Equations ◽

Block Length ◽

Active Noise

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Wavelet Adaptive Algorithm and Its Application to MRE Noise Control System

Shock and Vibration ◽

10.1155/2015/968082 ◽

2015 ◽

Vol 2015 ◽

pp. 1-8 ◽

Cited By ~ 5

Author(s):

Zhang Yulin ◽

Zhao Xiuyang

Keyword(s):

Control System ◽

Adaptive Algorithm ◽

Noise Control ◽

Complex Modulus ◽

Active Noise Control ◽

Adaptive Algorithms ◽

Lms Algorithm ◽

Magnetorheological Elastomers ◽

Active Noise ◽

Simulation Results

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.

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