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Real-time enhancement of reference signals for feedforward control of random noise due to multiple uncorrelated sources

机译:实时增强参考信号,用于由于多个不相关源而对随机噪声进行前馈控制

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摘要

The problem envisaged in this paper is the optimization of the reference set for broadband feedforward control of sound and vibration in the presence of multiple, uncorrelated primary sources. A real-time algorithm is presented that generates a set of orthogonal virtual references out of a given set of reference signals. The algorithm is based on recursive singular value decomposition (SVD) techniques. The technique simplifies controller design in the sense that primarily, comparable control performance can be achieved using a reduced set of virtual references instead of the extensive original reference set. Hence, controller dimensions (and, thus, the memory requirements for implementation) and the computational burden reduce accordingly. Second, it is shown that convergence speed of the adaptive filtered-X LMS feedforward control algorithm is enhanced. The technique is applied to active control of structure-borne road noise inside a car cabin. Time domain simulation of a control configuration, utilizing either an extensive set of original references as well as a reduced virtual reference set, shows that in the frequency ranges of interest, a set of four virtual references yields the same noise reductions as the original set of 12 references.
机译:本文设想的问题是在存在多个不相关的主要源的情况下,对声音和振动的宽带前馈控制的参考集进行优化。提出了一种实时算法,该算法从给定的一组参考信号中生成一组正交虚拟参考。该算法基于递归奇异值分解(SVD)技术。从主要意义上说,使用减少的虚拟参考集而不是大量的原始参考集可以实现可比较的控制性能,该技术简化了控制器设计。因此,控制器尺寸(以及因此实现所需的存储器需求)和计算负担相应地减小。其次,表明自适应滤波X LMS前馈控制算法的收敛速度得到提高。该技术被应用于主动控制车厢内部的固体道路噪声。利用大量原始参考集和简化的虚拟参考集对控制配置进行时域仿真,结果表明,在感兴趣的频率范围内,四个虚拟参考集可产生与原始参考集相同的降噪效果。 12参考。

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