噪声主动控制技术通过传感器采集噪声源信号作为输入，自适应算法输出信号驱动作动器抵消原有噪声，控制效果很大程度上取决于控制算法的性能。目前对于液体管路脉动主动控制的相关研究较少，需设计一种适用液体管路脉动噪声主动控制的算法。对传统宽带前馈FxLMS算法原理进行分析，针对管路脉动噪声低频线谱特征，设计线谱频率追踪算法进行峰值频率提取控制；对于作动器对参考信号造成的耦合干扰，设计声反馈补偿算法消除。设计试验将传统算法和优化后算法的脉动衰减效果进行对比，结果表明优化算法对不同频率的脉动线谱都具有衰减效果，相比宽带前馈算法提升约2 dB的脉动衰减量。
The noise active control technology collects the noise source signal as input through the sensor, and the output signal of the adaptive algorithm drives the actuator to offset the original noise, and the control effect largely depends on the performance of the control algorithm. At present, there is little research on active control of liquid pipeline pulsation, and it is necessary to design an algorithm for active control of liquid pipeline pulsation noise. The principle of the traditional broadband feedforward FxLMS algorithm is analyzed, and the line frequency tracking algorithm is designed for peak frequency extraction control for the low frequency line spectrum characteristics of pipeline pulsation noise; the acoustic feedback compensation algorithm is designed to eliminate the coupling interference caused by the actuator to the reference signal. The design test compares the pulsation attenuation effect of the traditional algorithm and the optimized algorithm, and the results show that the optimized algorithm has the attenuation effect on the pulsation line spectrum of different frequencies, and improves the pulsation attenuation by about 2 dB compared with the broadband feedforward algorithm.
2024,46(2): 35-41 收稿日期：2022-10-09
DOI：10.3404/j.issn.1672-7649.2024.02.006
分类号：U662.2
基金项目：湖北省自然科学基金资助项目（2019CFB247）；国家自然科学基金资助项目（11904407）
作者简介：黄程(1998-),男,硕士研究生,研究方向为振动与噪声控制
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