基于发动机激励的车室内有源噪声控制方法

在汽车行驶过程中,发动机激励引起的车腔内噪声由于速度、档位、温度等变化,导致对依赖次级路径建模的传统LMS、BP等噪声主动控制算法不能实现精准控制。而常规的同步扰动随机逼近算法存在需要估计较多的参数、系统收敛速度较慢等缺陷。因此提出改进的同步扰动随机逼近算法应用在由发动机激励产生的车内噪声主动控制系统中,根据某车型实车实验采集相关数据并处理,利用声学仿真软件对多转速多工况下的整车结构-车室空腔声场结构声耦合系统进行发动机激励振动分析。通过仿真可以看出改进后的同步扰动随机逼近算法可以快速稳定地收敛,实现车内噪声的稳定控制。

Active Noise Control Method in Vehicle Interior Based on Engine Excitation

In the driving process of the vehicle, the noise in the vehicle cavity caused by the engine excitation changes due to speed, gear position, temperature, etc., which leads to the fact that the traditional LMS, BP and other noise active control algorithms that rely on the modeling of secondary paths cannot achieve accurate control. The conventional synchronous perturbation stochastic approximation algorithm has the disadvantages of needing to estimate more parameters and slower system convergence speed. Therefore, this paper proposes an improved synchronous perturbation stochastic approximation algorithm to be applied in the active noise control system for interior noise generated by engine excitation. According to a real vehicle experiment, collect relevant data and process it, acoustic simulation software was used to analyze the engine excitation vibration of the acoustic coupling system of the structure of the vehicle-cabin cavity with multiple rotating speeds and multiple operating conditions. Through simulation, we can see that the improved synchronous perturbation stochastic approximation algorithm can converge quickly and steadily, and achieve stable control of vehicle interior noise.