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Fast Determination of Vehicle Suspension Parameters via Continuous Time System Identification

机译:通过连续时间系统识别快速确定车辆悬架参数

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Having accurate estimates for the parameter values of different vehicle components is crucial when it comes to the level of virtual testing of vehicle dynamics. Since these values are often not directly available, they need to be obtained from measurements. The most straightforward, but also most expensive way to obtain unknown values is by disassembling the car and by performing tests on the separate vehicle components. A solution that is often much cheaper is to infer estimates of the parameter values from measurements obtained by performing different driving maneuvers with the car. In this paper we show how methods from direct continuous time system identification (CT SysId) can be used to obtain accurate estimates for parameter values of the vehicle suspension system. The dynamic tests consist in exciting the suspension system by driving over one or several small obstacles and by recording the dynamic response of the car. CT SysId is used to adapt the unknown parameter values of a tentative car model in order to best match the measured data. Evaluation of the approach using a multi-body simulation tool showed that the identified parameter values match well with the ones of the simulated vehicle suspension system.
机译:当涉及车辆动态的虚拟测试的水平时,对不同车辆组件的参数值具有准确的估计是至关重要的。由于这些值通常不可直接可用,因此需要从测量中获得。最直接的,也是最昂贵的方式来获得未知值是通过拆卸汽车并通过在单独的车辆部件上执行测试。通常更便宜的解决方案是从通过执行与汽车的不同驾驶演习获得的测量来推断参数值的估计。在本文中,我们展示了如何使用直接连续时间系统识别(CT SYSID)来获得车辆悬架系统参数值的准确估计。动态测试包括通过在一个或几个小障碍物上驾驶并通过记录汽车的动态响应来激励悬架系统。 CT Sysid用于调整暂定车模型的未知参数值,以便最佳匹配测量的数据。使用多体仿真工具的方法评估识别的参数值与模拟车辆悬架系统的相匹配良好。

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