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A data-based approach for modeling and analysis of vehicle collision by LPV-ARMAX models

机译:基于数据的方法,用于通过LpV-aRmaX模型对车辆碰撞进行建模和分析

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摘要

Vehicle crash test is considered to be the most direct and common approach to assess the vehicle crashworthiness. However, it suffers from the drawbacks of high experiment cost and huge time consumption. Therefore, the establishment of a mathematical model of vehicle crash which can simplify the analysis process is significantly attractive. In this paper, we present the application of LPV-ARMAX model to simulate the car-to-pole collision with different initial impact velocities. The parameters of the LPV-ARMAX are assumed to have dependence on the initial impact velocities. Instead of establishing a set of LTI models for vehicle crashes with various impact velocities, the LPV-ARMAX model is comparatively simple and applicable to predict the responses of new collision situations different from the ones used for identification. Finally, the comparison between the predicted response and the real test data is conducted, which shows the high fidelity of the LPV-ARMAX model.
机译:车辆碰撞测试被认为是评估车辆碰撞性的最直接,最通用的方法。但是,它具有实验成本高和时间消耗大的缺点。因此,建立能够简化分析过程的车辆碰撞数学模型非常有吸引力。在本文中,我们介绍了LPV-ARMAX模型在模拟具有不同初始冲击速度的车对杆碰撞中的应用。假设LPV-ARMAX的参数依赖于初始撞击速度。 LPV-ARMAX模型相对于建立用于碰撞速度不同的车辆碰撞的LTI模型集相对简单,可用于预测不同于用于识别的新碰撞情况的响应。最后,对预测响应与真实测试数据进行了比较,显示了LPV-ARMAX模型的高保真度。

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