Abstract
In recent years, the online secondary path modeling (SPM) method with an auxiliary noise power scheduling strategy has been crucial for active noise control (ANC) systems and has also become a popular research topic. However, most scheduling strategies have been designed for broadband active noise control (BANC), and these ideas may not be directly applied to narrowband active noise control (NANC) systems due to the difference in structure between BANC and NANC systems. In this paper, a new online SPM method with auxiliary noise power scheduling is proposed. Here, the controlled system is adapted using the filtered-x weighted accumulated least mean square (FXWALMS) algorithm proposed by the authors. Moreover, the auxiliary noise power is scheduled based on the convergence status of the forgetting factor to accurately track the change in the NANC system. As a result, the proposed method not only achieves good modeling accuracy and fast convergence but also considerably increases noise attenuation. Extensive simulations are conducted to prove the superior performance of the proposed method in various scenarios.
Highlights
In the past few years, the research on active noise control (ANC) technology has received considerable attention as more and more applications have appeared [1,2,3,4,5], and several systems and algorithms have been proposed by various researchers [6,7,8,9,10,11,12]
A new online secondary path modeling (SPM) method with an auxiliary noise power scheduling strategy for the narrowband active noise control (NANC) system is proposed by extending the method developed by the authors [28] to improve the performance of the whole system
To increase the convergence rate and traceability, a modified filtered-x weighted accumulated least mean square (FXWALMS) (MFXWALMS) algorithm with the variable forgetting factor scheme [28] is used in the NANC subsystem
Summary
In the past few years, the research on active noise control (ANC) technology has received considerable attention as more and more applications have appeared [1,2,3,4,5], and several systems and algorithms have been proposed by various researchers [6,7,8,9,10,11,12]. With the widespread use of industrial equipment, various annoying noise signals are generated by rotating machines, such as fans, compressors, and engines. These types of noises include multiple narrowband components, exhibit narrowband characteristics, and usually can be modeled as multiple sinusoidal signals with additive white noise. The narrowband active noise control (NANC) system can suppress such noise signals more efficiently in various engineering and environmental applications
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