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本文讨论履带车辆动态系统时间序列统计模拟的数学模型和计算机程序。采用RAMA(p,q)模型以统计模拟车辆随机动态系统的激励——路面不平度时间序列采样,按Rugge-Kutta法求解车辆系统的状态方程,获得振动响应时间序列采样,并经统计处理给出均方根值、自相关函数、功率谱密度函数、概率密度函数等统计性质。这种在计算机上进行模拟试验的结果,对车辆工程研究设计有实用价值,已用于履带车辆系统工程性能计算程序中,所得模拟采样数据还可用于车辆的优化设计以及依托于其上的其它动态系统的模拟试验研究中。
This paper discusses the mathematical model and computer program of the time series statistical simulation of the tracked vehicle dynamic system. The RAMA (p, q) model is used to simulate the excitation-road roughness time series sampling of the vehicle’s stochastic dynamic system. The state equation of the vehicle system is solved by the Rugge-Kutta method. The vibration response time series sampling is obtained and statistically processed The mean square root mean square value, autocorrelation function, power spectral density function, probability density function and other statistical properties. The result of simulation experiments carried out on a computer has practical value for vehicle engineering research and design and has been used in the calculation program of tracked vehicle system engineering performance. The resulting simulated sampling data can also be used for vehicle optimization design and other Dynamic system simulation test research.