矿井主动噪声控制技术的应用研究

摘要

In this paper, analysis was made on the frequency characteristics of the noise produced by KCS mine wet dust collector with MATLAB software, and based on the improved FXLMS algorithm, the secondary path model was established by applying the offline modeling method. With the designed active noise control system, the noise reduction experiments were carried out on the acquisitioned noise data. The results showed that the active noise control system established with the improved FXLMS algorithm can eliminate about 5 to 6 dB of the noise produced by KCS250 mine wet dust collector.%采用MATLAB软件对采集的KCS250矿用湿式除尘器的噪声进行了频率特性分析,并基于改进的FXLMS算法,采用离线建模方法建立了次级通道模型.通过设计的主动噪声控制系统对采集的噪声数据进行降噪实验,结果表明,采用改进的FXLMS算法建立的主动控制系统对KCS250矿用湿式除尘器的噪声消声量约为5~6 dB.