基于混合算法的在线主动噪声控制策略分析

J. Calderon, J. Tafur, Benjamín Barriga, Edgar A. Manzano
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引用次数: 1

摘要

发动机的运转通常会产生强烈的噪音,并可能造成听力损伤。因此,被动吸收器被用来减少或消除不必要的噪音。但是,这种机制与高成本和空间要求有关。主动噪声控制(ANC)可以消除上述缺点,因此提供了更好的解决方案。ANC可以采用反馈、前馈或混合算法设计。混合算法具有平均稳定时间,但在存在干扰时具有良好的响应能力。在本文中,对于在主混合控制算法回路(在线)内进行识别过程的用例,显示了一个公平的降噪。
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Analysis of online active noise control strategies by hybrid algorithm
Engines operations usually produce intense noise and may cause hearing injuries. Therefore, passive absorbers are being used to reduce or eliminate unwanted noise. However, this mechanism is connected with high costs and space requirements. Active Noise Control (ANC) allows to eliminate mentioned drawbacks and therefore offers a better solution. ANC can be designed by feedback, feedforward or hybrid algorithm. Hybrid algorithm has an average settling time, but allows a good response in presence of disturbances. In this paper a fair noise reduction is shown for the use case where an identification process is being made inside of the main hybrid control algorithm loop (online).
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