汽车道路随机不平顺的时序模型重构

Time Series Model Regeneration of Random Road Undulation Input to Vehicles

汽车道路时域模型是基础性道路数据库的主体部分.基于道路频域统计数字特征或基于道路测量数据序列,用时间序列方法建立道路时域模型是一种有效且普适的时域道路建模方法.在对道路描述特征进行分析的基础上,给出了标准道路在指定功率谱密度下和非标道路在实测子样数据下两类不同道路模拟的技术路线,对时序道路建模过程、原理和应用进行了分析,得到了道路时域重构的AR和ARM A模型.仿真实例表明了时序道路模型重构的合理性和高效性.

The time domain model of vehicle road is the key component of road database. Model regeneration in time domain by using time series method, based on the road statistical digital feature PSD in frequency domain or on road test data sequence is featured with efficiency and universality. Following the general road formulation, two different realization ways with respect to the appointed PSD of a standard road and to the test sampling data sequence are illustrated. The modeling process and the determination of model parameters are analyzed in the paper. The AR and ARMA model are established as road regeneration models in time domain. Simulation study demonstrated that the method is reasonable and efficient.