基于动量NLMS算法的发动机主动悬置振动控制仿真  

Simulation of Active Engine Suspension Vibration Control Based on Momentum NLMS Algorithm

作　　者：唐涌 王里达[2] 吴晓婷 王小虎 刘少文 张旗 

机构地区：[1]湖南工业大学轨道交通学院,湖南株洲412007 [2]株洲时代新材料科技股份有限公司,湖南株洲412000

出　　处：《工业控制计算机》2023年第6期19-21,共3页Industrial Control Computer

摘　　要：发动机是整车NVH特性的重要影响因素,但现有主动悬置控制算法仍存在收敛速度慢、控制效果差等缺点,因此设计了基于动量NLMS的主动悬置控制算法,建立了仿真模型,分别基于混频振动信号和采集的发动机激励产生的加速度信号开展仿真研究。结果表明,对于模拟的的混频振动信号,该算法具有收敛速度更快、能大幅削减加速度峰值的优点。对发动机激励信号峰值有最大约54 d B的降低,加速度总体有约29 d B的控制效果,与经典LMS、NLMS算法相比均有明显的优势。The engine is an important influence factor of the NVH characteristics of the vehicle,but the existing active suspension control algorithm still has the disadvantages of slow convergence speed and poor control effect,so this paper designs the active suspension control algorithm based on momentum NLMS,establishes the simulation model,and carries out the simulation study based on the mixed-frequency vibration signal and the acceleration signal generated by the collected engine excitation respectively.The results show that for the simulated mixed-frequency vibration signal,the algorithm has the advantage of faster convergence and can significantly reduce the acceleration peak.The maximum reduction of the engine excitation signal peak is about 54 dB,and the total acceleration level is about 29 dB,which has obvious advantages compared with the classical LMS and NLMS algorithms.

关 键 词：动量NLMS算法 振动主动控制 主动悬置 

分 类 号：U464.13[机械工程—车辆工程]