基于路面谱随机激励的履带车辆舒适性仿真研究

Ride Comfort Simulation of Tracked Vehicles from Stochastic Excitation Based on Road Surface Spectrum

利用随机路面激励对七自由车辆振动模型所产生的振动响应进行舒适性仿真分析。首先采用谐波叠加法、滤波白噪声及AR自回归模型法生成路面不平度并进行了对比反演验证,通过构建七自由度履带车辆模型并利用Matlab仿真软件建立舒适性评价方法,利用同一车速、不同路面下驾驶员座椅处加速度频率响应与舒适降低工作效率界限进行比较,即可对履带车辆舒适性进行评价分析。

By building a seven-degree-freedom vehicle model,chassis response could be used to evaluate ride comfort of tracked vehicles.Firstly after studying partial wave adding model,pseudo white noise model and AR auto-regressive model,different road roughness was made based on road spectrum and the contrast research on these three methods was made.Then vehicle suspension model with seven degrees of freedom was constructed and the method of ride comfort evaluation was built by Matlab software.After the same vehicle velocity and different road roughness were input at the same time,stochastic excitation under driver seat were compared with deduced comfort boundary.So,the simulation result can be used to evaluate the ride comfort.