权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

Multichannel Adaptive Filter with Assured Stability and Its Applications to Active Noise Control

具有保证稳定性的多通道自适应滤波器及其在主动噪声控制中的应用

基本信息

批准号：
09650422
负责人：
SANO Akira
金额：
$ 1.79万
依托单位：
Keio University, Faculty of Science and Technology
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
1997
资助国家：
日本
起止时间：
1997 至 1998
项目状态：
已结题

项目摘要

In multichannel active noise control with a multiple number of primary noise sources, secondary control sources, reference microphones and error microphones, a class of new stability-guaranteed adaptive algorithms have been investigated to update the feedforward controllers for generating artificial control sounds to cancel the noises at the error microphones. The results obtained by this project can be summarized as follows : (1) The obtained robust adaptive algorithm is stability-guaranteed for any changes of the primary channels by assuming the secondary channels are known a priori and an upper bound of additive uncertainties is given. (2) Two identification-based adaptive schemes have been proposed to compensate for uncertain changes of the secondary path matrices as well as the primary ones. In the first scheme the secondary control sounds can be calculated in an on line way by taking the FFT and inverse FFT corresponding to the identified two equivalent path matrices. In the seco … More nd scheme, we update the error system in adequate timings to adjust the adaptive feedforward controller. (3) A new plug-iii type of adaptive algorithms with assured stability have also been investigated when the primary source noises are periodic. This approach requires no reference microphones and then will provide an attractive scheme for industrial applications. (4) A new adaptive filtering algorithm is derived to improve the tracking performance for time-varying unknown parameters. All of the conventional adaptive approach adopt LMS algorithm assuming that unknown parameters are constant. However, the proposed approach involves an internal model describing the dynamic behavior of time varying parameters and can track rapid changes of the unknown parameters. (5) Finally, we have examined the effectiveness of the proposed adaptive schemes in two experimental studies, for instance, adaptive active noise canceling in an air duct and adaptive active noise control for the moving points. The results are compared with other conventional approaches. The proposed adaptive feedforward control schemes can also be extended to applications of the active vibration suppression control of structures excited by seismic accelerations. Less

在多通道有源噪声控制中，考虑了多个主噪声源、多个次级控制源、多个参考传声器和多个误差传声器，研究了一类新的稳定性保证的自适应算法，用以更新前馈控制器，产生人工控制声，消除误差传声器的噪声。（1）在假设辅助信道先验已知的前提下，所得到的鲁棒自适应算法对主信道的任何变化都是稳定的，并给出了加性不确定性的上界。(2)提出了两种基于辨识的自适应方案来补偿次级路径矩阵和初级路径矩阵的不确定变化。第一种方案通过对识别出的两个等效路径矩阵进行快速傅立叶变换和逆快速傅立叶变换，在线计算次级控制音。在seco ...更多信息在第二种方案中，我们在适当的时间更新误差系统来调整自适应前馈控制器。(3)当主源噪声是周期性的时，还研究了一种新的具有保证稳定性的plug-iii型自适应算法。这种方法不需要参考麦克风，然后将为工业应用提供有吸引力的方案。(4)针对时变未知参数的跟踪问题，提出了一种新的自适应滤波算法。传统的自适应方法都是在未知参数为常数的假设下采用LMS算法。然而，所提出的方法涉及一个内部模型描述的动态行为的时变参数，并可以跟踪未知参数的快速变化。(5)最后，我们已经检查了所提出的自适应计划的有效性在两个实验研究中，例如，自适应有源噪声消除在空气管道和自适应有源噪声控制的移动点。与其他传统的方法的结果进行了比较。所提出的自适应前馈控制方案也可以推广到地震加速度激励下结构振动主动抑制控制的应用中。少