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ACQUISITION OF A STATE-SPACE MODEL FOR ONE-DIMENSIONAL ACTIVE NOISE CONTROL

机译:获取一维主动噪声控制的状态空间模型

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The acquisition of a state-space model for Active Noise Control (ANC) for a one-dimensional acoustic duct system is discussed. A complex-valued state-space model with infinite dimension is derived theoretically. The key system coefficient-acoustic terminal impedance is determined based on system identification method. By checking the eigenvalue' s consistency, the acoustic terminal impedance is determined by taking average of its estimations corresponding to each resonance frequency. The proposed approach is further extended into a peak-by-peak identification approach so as to reduce the complexity and computation load caused by potential high-order system identification. Compared with most existing models and approaches for ANC design, the unique feature of the proposed model and method is that the physical meanings of all system coefficients are kept in the developed model, which provides sufficient details for supporting ANC design and analysis.
机译:讨论了用于一维声道系统的主动噪声控制(ANC)的采集状态模型。从理论上导出具有无限尺寸的复值的状态空间模型。基于系统识别方法确定关键系统系数 - 声学终端阻抗。通过检查特征值的一致性,通过平均其估计对应于每个谐振频率来确定声学终端阻抗。所提出的方法进一步扩展到逐峰峰识别方法,以减少由潜在的高阶系统识别引起的复杂性和计算负荷。与大多数现有模型和ANC设计的方法相比,所提出的模型和方法的独特特征是,所有系统系数的物理含义都保持在开发的模型中,这提供了支持ANC设计和分析的充分细节。

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