Active Noise Control Using a Fuzzy Inference System Without Secondary Path Modelling
نویسندگان
چکیده
منابع مشابه
Active Noise Control Using a Fuzzy Inference System Without Secondary Path Modelling
For many adaptive noise control systems the Filtered-Reference LMS, known as the FXLMS algorithm is used to update parameters of the control filter. Appropriate adjustment of the step size is then important to guarantee convergence of the algorithm, obtain small excess mean square error, and react with required rate to variation of plant properties or noise nonstationarity. There are several re...
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Several approaches have been introduced in literature for active noise control (ANC)systems. Since Filtered-x-Least Mean Square (FxLMS) algorithm appears to be the best choice as acontroller filter. Researchers tend to improve performance of ANC systems by enhancing andmodifying this algorithm. This paper proposes a new version of FxLMS algorithm. In many ANCapplications an online secondary pat...
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The Filtered-x LMS algorithm, when applied to active noise control, uses a secondary path model in order to update control filter parameters. The model is, however, subject to an error if the plant changes, what can result in algorithm divergence. Additional excitation signal can be then used to update the model on-line. Active control system properties are also dependant on the algorithm step ...
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ژورنال
عنوان ژورنال: Archives of Acoustics
سال: 2015
ISSN: 2300-262X
DOI: 10.2478/aoa-2014-0028