ABS轮速信号的数字滤波技术研究

Guofu Liu, Qi Zhang, Yueke Wang, Tingting Zhou
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引用次数: 5

摘要

ABS轮速传感器测得的轮速信号在用于计算车轮加减速和参考车速之前,必须事先进行处理。指数平滑滤波器由于没有考虑被测信号的时变噪声特性,不能满足ABS系统的要求。根据试验测得的数据,通过二阶多项式数据拟合得到系统的测量标准方差。在假定线性系统方程的基础上,将卡尔曼滤波结构引入到车轮速度信号的处理中。试验结果表明,本文设计的滤波器精度高、滞后小,可应用于ABS其他控制项的计算。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An investigation of digital filter technology on ABS wheel speed signal
The wheel speed signals measured from ABS wheel speed sensors must be processed in advance before they are used to calculate the acceleration and deceleration of the wheel and the reference vehicle velocity. Owning to not considering the time varying noise characteristics of measured signals, the exponential smoothness filter cannot fulfill the requirements of ABS system. According to the data measured by test, the system measurement standard variance is obtained by two order polynomial data fit. On the basis of linear system equation assumed, the structure of Kalman filter is introduced in the process of wheel velocity signal. Test results show that the filter designed in this paper can be applied in the calculation of other ABS control items because of its high accuracy and small lag.
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