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Fully adaptive active noise control dealing with changes of secondary path response

机译:完全自适应的主动噪声控制,可处理次级路径响应的变化

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This paper is concerned with a general structure and adaptive algorithms for active noise control and their application to noise cancelling for an air duct. Adaptive control algorithms play an essential role in dealing with uncertainties and changes in primary and secondary path response dynamics of sound propagation. Two new adaptive approaches are proposed and investigated in this paper. One is a direct adaptive approach which gives a stability-guaranteed adaptive algorithm for updating a feedforward adaptive controller. Unlike the ordinary filtered x algorithms, the distinctive feature of the proposed algorithm is in its assurance of stability and boundedness based on the strictly positive real property of an error model. However, it requires that the secondary path response should be known a priori and be constant. The other is an indirect approach which gives a fully adaptive algorithm available in a case in which the both primary and secondary path responses are uncertain and changeable. The algorithm consists of identification of two transfer function models and calculation of the corresponding feedforward controller.
机译:本文涉及主动噪声控制的一般结构和自适应算法及其在风管噪声消除中的应用。自适应控制算法在处理声音传播的主要和次要路径响应动力学的不确定性和变化方面起着至关重要的作用。本文提出并研究了两种新的自适应方法。一种是直接自适应方法,其给出了用于保证前馈自适应控制器的稳定性保证的自适应算法。与普通的滤波x算法不同,该算法的显着特征是基于误差模型的严格正实性,可以保证稳定性和有界性。但是,它要求次级路径响应应先验地知道并且是恒定的。另一种是间接方法,在主路径和次路径响应都是不确定且可变的情况下,它提供了一种完全自适应的算法。该算法包括两个传递函数模型的识别和相应前馈控制器的计算。

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