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Estimation of dynamic tire force by measurement of vehicle body responses with numerical and experimental validation

机译:通过数值和实验验证的车身响应测量来估算动态轮胎力

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Bridge modal parameters, including modal mass, are important factors that directly affect the bridge responses under various excitations. To identify these parameters, the simultaneous measurement of the bridge excitation and its corresponding bridge responses is typically required. However, traditional methods of exciting a bridge using a hammer or a shaker have the limitations of small impact energy, narrow frequency range, and other site-specific difficulties. However, the vehicle-induced load, which excites the bridge through the vehicle-bridge interaction, can be used in bridge parameter identification if the vehicle-bridge contact force is estimated well. In this paper, an algorithm is proposed to estimate the dynamic components of the vertical tire contact forces by measuring the vehicle body acceleration and angular velocity at selected locations on an ordinary vehicle. A Kalman filter with augmented tire forces in the system state vector is employed. Observability and sensitivity analyses provide the method's theoretical foundation. Numerical examples for different road roughness conditions demonstrate that the proposed algorithm has good accuracy and robustness against noise and modelling error. A commercial light vehicle was used in the conduct of field measurement to validate the proposed method. The estimated dynamic tire forces are in good agreement with reference measurements. (C) 2019 Elsevier Ltd. All rights reserved.
机译:包括模态质量在内的桥梁模态参数是直接影响各种激励下桥梁响应的重要因素。为了识别这些参数,通常需要同时测量电桥激励及其相应的电桥响应。然而,使用锤子或振动器激励桥梁的传统方法具有冲击能量小,频率范围窄和其他特定地点困难的局限性。但是,如果很好地估计了车桥接触力,则可以通过车桥相互作用激励由车桥引起的车辆感应载荷,用于桥梁参数识别。在本文中,提出了一种通过测量普通车辆上选定位置的车身加速度和角速度来估算垂直轮胎接触力的动态分量的算法。使用在系统状态向量中具有增加的轮胎力的卡尔曼滤波器。可观察性和敏感性分析为该方法提供了理论基础。在不同路面不平整条件下的数值算例表明,该算法具有良好的精度和鲁棒性,可有效抵抗噪声和建模误差。一种商用轻型车辆用于现场测量,以验证所提出的方法。估算的动态轮胎力与参考测量值非常吻合。 (C)2019 Elsevier Ltd.保留所有权利。

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