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Study of active noise control system for a commercial HVAC unit.

机译:商用HVAC单元的有源噪声控制系统的研究。

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摘要

Acoustic noise is a common problem in everyday life. If the appliances that are present in the work and living areas generate noise then it's a serious problem. One such appliance is the Heating, Ventilation and Air-conditioning system (HVAC) in which blower fan and compressor units are housed together. Operation of a HVAC system creates two kinds of noise. One is the noise due to the air flow and the other is the result of the compressor. Both of them exhibit different signal properties and need different strategies to control them. There has been previous efforts in designing noise control systems that can control noise from the HVAC system. These include passive methods which use sound absorption materials to attenuate noise and active methods which cancel noise by generating anti-noise. Passive methods are effective in limiting the high frequency noise, but are inefficient in controlling low frequency noise from the compressor. Compressor noise is one of the strong low frequency components that propagate through the walls, therefore there is need for deploying active signal processing methods that consider the signal properties into consideration to cancel the noise acoustically. The quasi periodic nature of the compressor noise is exploited in noise modeling which aids in implementing an adaptive linear prediction filter in estimating the anti noise [12]. In this thesis, a multi channel architecture has been studied for a specific HVAC system in order to improve noise cancellation by creating larger quiet zone. In addition to the multi-channel architecture, a real time narrow band Active Noise Control (ANC) was employed to cancel noise under practical conditions.
机译:噪音是日常生活中的常见问题。如果工作和生活区域中存在的电器产生噪音,那么这将是一个严重的问题。一种这样的设备是供暖,通风和空调系统(HVAC),其中鼓风机和压缩机单元安装在一起。 HVAC系统的运行会产生两种噪声。一种是由于气流引起的噪音,另一种是压缩机产生的结果。它们两者都表现出不同的信号特性,并且需要不同的策略来控制它们。在设计噪声控制系统方面已经进行了先前的努力,该系统可以控制来自HVAC系统的噪声。这些方法包括使用吸声材料来衰减噪声的被动方法,以及通过产生抗噪声来消除噪声的主动方法。无源方法在限制高频噪声方面有效,但在控制来自压缩机的低频噪声方面效率不高。压缩机噪声是在墙壁中传播的强烈低频成分之一,因此需要部署一种有源信号处理方法,该方法应考虑信号特性以声学方式消除噪声。在噪声建模中利用了压缩机噪声的准周期性,该噪声有助于实现自适应线性预测滤波器来估计抗噪声[12]。本文针对特定的HVAC系统研究了多通道架构,以通过创建更大的安静区域来改善噪声消除。除了多通道架构之外,在实际情况下还采用了实时窄带有源噪声控制(ANC)来消除噪声。

著录项

  • 作者

    Devineni, Naga.;

  • 作者单位

    The University of Texas at Dallas.;

  • 授予单位 The University of Texas at Dallas.;
  • 学科 Engineering Mechanical.;Physics Acoustics.
  • 学位 M.S.E.E.
  • 年度 2011
  • 页码 72 p.
  • 总页数 72
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 康复医学;
  • 关键词

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