智轨电车司机室主动降噪方法仿真研究

Simulation Research on Active Noise Reduction in Driver’s Cab of Autonomous-rail Rapid Tram

智轨电车司机室的噪声主要来自布置在司机室底架上的大型机电设备,这些噪声频带分布广、且具有明显的时变特性,而传统降噪技术只能在某些特殊的频率和工况下发挥作用,不能完全满足智轨电车的降噪需求。为进一步提高智轨电车司机室驾驶环境的舒适性,文章针对智轨电车司机室降噪技术进行研究,提出一种宽带前馈主动降噪方法,其采用FxLMS控制算法。文中对其控制算法进行了推导,并结合智轨电车噪声数据在Matlab/Simulink平台进行建模仿真。仿真结果表明,采用该主动降噪技术能够有效降低司机室内噪声水平,噪声降幅约为20 dB。

Noise of autonomous-rail rapid tram mainly comes from giant mechanical and electrical equipment installed on the chassis of cab.The noise has a wide frequency band and obvious time-varying characteristics.Traditional noise reduction technology can only work in specific frequencies and working conditions,and may not fully meet the noise reduction requirements of the autonomous-rail rapid tram.In order to further improve the comfort of driving environment for autonomous-rail rapid tram cab,this paper studies the active noise reduction technology of autonomous-rail rapid tram cab.A wideband feedforward active noise reduction method is proposed,which adopts FxLMS control algorithm,and the control algorithm is derived,and the noise data of autonomousrail rapid tram is used in the Matlab/Simulink platform for modeling and simulation.The results show that the active noise reduction technology can effectively reduce noise level in cab and the noise reduction is about 20 dB.