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Online Identification of Road Profile Variation Using a Constant Piecewise Function

机译:使用恒定分段功能在线识别道路轮廓变化

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Road profile estimation has become an indispensable tool for improved route planning and enhanced design of active suspensions. Performances requirements, such as increasing ride comfort and improving the driving maneuverability, depend on the road unevenness. The core idea is to use vehicle dynamics to get information about road perturbation and isolates passengers from vibrations. Online estimation of geometric variation of the road was investigated in this paper based on the operational calculus method and algebraic approach. The estimator equations are derived from a predictor scheme which was used to approximate this unknown signal variation by a piecewise constant function. The major interest of this technique is that it allows using minimum numbers of mechanical sensors and few parameters for tuning. Accurate approximations were obtained from the measurement of sprung mass and un-sprung mass vertical displacements. Numerical results with MATLAB/Simulink environment were used for investigating the effectiveness of the proposed technique for fast prediction.
机译:道路型材估计已成为改进路线规划和增强的主动悬架设计的不可或缺的工具。性能的要求,例如增加的乘坐舒适性和提高驾驶操作性,取决于道路的凹凸。核心思想是利用车辆动态获取有关道路扰动的信息,并将乘客与振动隔离。本文基于运营微积分法和代数方法在线估算道路几何变化。估计方程源自预测器方案,用于通过分段恒定函数近似于近似该未知信号变化。这种技术的主要兴趣是它允许使用最小数量的机械传感器和少数参数进行调谐。从簧下质量和未浇注的质量垂直位移的测量获得了精确的近似。使用MATLAB / SIMULINK环境的数值结果用于调查所提出的快速预测技术的有效性。

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