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首页> 外文期刊>Proceedings of the Institution of Mechanical Engineers, Part D. Journal of Automobile Engineering >Real-time estimation of the pressure in the wheel cylinder with a hydraulic control unit in the vehicle braking control system based on the extended Kalman filter
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Real-time estimation of the pressure in the wheel cylinder with a hydraulic control unit in the vehicle braking control system based on the extended Kalman filter

机译:基于扩展卡尔曼滤波器的车辆制动控制系统中具有液压控制单元的轮筒中压力的实时估计

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摘要

The pressure in the wheel cylinder plays an important role in the anti-lock braking system, but direct measurement usually needs expensive sensors. Therefore, estimation of the pressure in the wheel cylinder is of great significance to optimize the algorithm of the anti-lock braking system. There are two commonly used estimation methods: one is based on the hydraulic model, and the other is based on the equation for the tyre dynamics. Both of these, however, suffer from inadequacies. The former method is sensitive to the accuracy of the model in practical applications, and an accumulated error appears if some parameters of the process are not sufficiently accurate. In the latter method the pressure in the wheel cylinder is calculated for each cycle but, when the vehicle is running, the fluctuations in the deceleration are relatively large. To estimate the pressure more accurately, a novel method is proposed in this paper, which combines these two methods on the basis of the extended Kalman filter. The method can compensate for the inadequacies of the two methods mentioned above by using the variation in the wheel speed as the observation variable to modify the hydraulic model. It can decrease its sensitivity to the accuracy of the hydraulic model and improve the accuracy of the estimated magnitude of the pressure. The estimated results are compared with the real values which are obtained by using a pressure sensor on a typical low-friction road and on an asphalt road; in addition, the effectiveness of the novel method is validated by hardware-in-the-loop tests and vehicle tests. The results show that the proposed method can provide an accurate estimation of the pressure in the wheel cylinder during hydraulic control of the anti-lock braking system or any other brake control system.
机译:车轮缸中的压力在防锁制动系统中起重要作用,但直接测量通常需要昂贵的传感器。因此,估计车轮筒中的压力对于优化防锁制动系统的算法具有重要意义。有两个常用的估计方法:一个是基于液压模型,另一个基于轮胎动态的等式。然而,这两者都遭受了不足的缺陷。前一种方法对实际应用中模型的准确性敏感,如果该过程的某些参数没有足够准确,则会出现累计错误。在后一种方法中,为每个循环计算轮缸中的压力,但是,当车辆运行时,减速的波动相对较大。为了更准确地估计压力,本文提出了一种新的方法,这在延长的卡尔曼滤波器的基础上结合了这两种方法。该方法可以通过使用车轮速度的变化作为观察变量来改变液压模型的轮速的变化来补偿上述两种方法的不足。它可以降低其对液压模型精度的敏感性,提高压力估计大小的精度。将估计的结果与通过在典型的低摩擦道路和沥青路上使用压力传感器而获得的实际值进行比较;此外,通过循环的硬件测试和车辆测试验证了新方法的有效性。结果表明,该方法可以在防锁制动系统或任何其他制动控制系统的液压控制期间提供轮筒中的压力的​​精确估计。

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