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An active noise control method of non-stationary noise under time-variant secondary path

机译：时变次级路径下的非平稳噪声的主动噪声控制方法

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Active noise control (ANC) provides an efficient way for eliminating low-frequency noise, whereas accurate controlling non-stationary noise of rotating machinery under time-variant secondary path is still a major challenge. To address this, a novel ANC method based on signal decomposition and simultaneous perturbation is developed in this paper. In the proposed method, an indicator of periodic characteristic (IPC) with the degree of cyclostationarity is first presented to evaluate reference noise. Subsequently, a real-time strategy of the IPC combined with fast empirical mode decomposition is designed to adap-tively decompose reference noise into a series of intrinsic mode functions, which are stationary and further controlled individually. Besides, the simultaneous perturbation is applied to update the controller weights for having a better tracking ability under the time-variant secondary path. Experiments were conducted to evaluate the capacity of the proposed method for controlling non-stationary reference noise under the time-variant secondary path. The results demonstrate that proposed method is capable of performing better than commonly used algorithms.
机译：主动噪声控制（ANC）提供了一种消除低频噪声的有效方法，而在时间变体的二手路径下准确控制旋转机械的非平稳噪声仍然是一个主要挑战。为了解决这个问题，本文开发了一种基于信号分解和同时扰动的新型ANC方法。在所提出的方法中，首先提出具有循环棘轮程度的周期性特征（IPC）的指标以评估参考噪声。随后，IPC与快速经验模式分解结合的实时策略旨在将参考噪声适应地分解为一系列内在模式功能，这些功能是静止的并且可以单独地控制。此外，应用同时扰动以更新控制器权重，以便在时变二级路径下具有更好的跟踪能力。进行了实验以评估所提出的方法控制时变量二次路径下的非平稳参考噪声的能力。结果表明，所提出的方法能够比常用的算法表现更好。

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