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为了对道路随机激励下车辆的平顺性动力学进行研究首先必须建立道路高程的时间历程。为了对时域内道路的数学模型、算法设计和道路仿真实现的研究,分析了道路不平顺高程从频域向时域的转换方法并在建模数值道路过程中考虑了车轮之间以及两轮辙之间的相关性,设计了三种主要的道路模拟算法——谐波叠加法、白噪声过滤法和基于道路功率谱离散的逆Fourier变换法并将其于MATlab平台上集成为专用的道路仿真系统。为使仿真尽可能真实,包括时域中的双轮辙关系、道路仿真算法的改进以及多元算法的集成等方面也给予了重视。仿真算例研究表明了所用方法原理上的普适性、有效性,以及仿真结果与实际道路的一致性。
In order to study the ride comfort of a vehicle under the random excitation of the road, the time history of the road elevation must first be established. In order to study the mathematic model, algorithm design and road simulation in the time domain, the method to convert the road irregularity elevation from the frequency domain to the time domain is analyzed and the relationship between the wheels and the two wheeled paths , Three major road simulation algorithms are designed-harmonic superposition method, white noise filtering method and inverse Fourier transform method based on discrete road power spectrum, which are integrated into a dedicated road simulation on the MATLAB platform system. In order to make the simulation as realistic as possible, including the relationship between the two wheels in the time domain, the improvement of the road simulation algorithm and the integration of multivariate algorithms, etc., too. The simulation study shows the universality and validity of the method used, as well as the consistency of the simulation results with the actual road.