自适应有源反馈噪声控制系统研究
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摘要
有源噪声控制技术是噪声控制领域中近几十年发展起来的一项新技术,随着三维空间有源噪声控制研究的深入,将自适应滤波技术应用于有源噪声控制,已成为有源噪声控制研究的重点。为解决实际有源噪声控制系统常常无法获得参考信号,以及次级声反馈的问题,有源反馈控制系统研究是非常急需和重要的。
     论文以内模型控制实现自适应有源反馈控制系统为核心,研究了常规滤波—X LMS算法性能,推导了基于滤波—X LMS算法的自适应内模型控制有源反馈算法,通过计算机仿真研究了单通道和多通道条件下该系统性能。
     最后,以Simulink为工具,研究了硬件实现自适应内模型控制有源反馈中遇到的各种问题。论文的研究结果,将为推动有源噪声控制技术的工程应用提供直接帮助。
Active Noise Control (ANC) is a relative new technique in the field of noise control and has been developed rapidly in recent years. With the development of ANC in three dimension spaces, adaptive filter technique has been used in ANC and formed Adaptive Active Noise Control (AANC) . To solve the problems of that real AANC systems can't get the good reference signals in some situation and the acoustic feedback problems. In this M.S. thesis, adaptive feedback is explored theatrically and experimentally.
    The main contact is about the implement of the feedback AANC system using Internal Model Control (IMC) configuration. Firstly, the performance of common filter-X LMS algorithm is examined. Then, the algorithm of feedback AANC systems based on Filtering-X LMS algorithm is deduced. Based on theoretic analysis and computer simulations, the performance of single-path and multi-channel AANC systems is studied.
    Finally, the implementing the feedback AANC systems based on IMC configurations is investigated. The conclusion obtained would give an help for application of the AANC technique to engineering.
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