基于趋势补偿的防抱死系统轮速信号处理

Wheel speed signal processing of anti-lock braking system based on trend compensation

为了解决基于霍尔传感器混合动力汽车防抱死系统轮速检测信号容易产生温度漂移干扰的问题,提出了一种利用联合中值均值加权和经验模函数分解估计温度漂移干扰信号的算法.通过联合中值均值加权估计出温度漂移趋势成分后,再对估计温度漂移趋势进行自适应固态模函数分解,利用t检验的方法,判断出各阶固态模函数中不属于温度漂移趋势的成分,继而得到温度漂移趋势的精确估计.对比了不同温度漂移干扰下本文算法与形态学滤波算法的噪声修正性能,结果表明,本文算法能够有效剔除温度漂移干扰,平均信噪比提升4 d B以上.

In order to solve the problem of temperature drift interference caused by the wheel speed detection signal of anti-lock braking system( ABS) of hybrid electric vehicle based on Holzer sensor,an estimation algorithm of temperature drift interference signal was proposed in combination with both mean-median weighted estimation and empirical mode function decomposition. Through estimating the temperature drift trend component with the combined mean-median weighted estimation,the estimated temperature drift trend was performed with the adaptive intrinsic mode function decomposition. With the t test method,the components which do not belong to the temperature drift trend in the each order of intrinsic mode function were judged,and the accurate estimation of temperature drift trend was achieved. The noise correction performances of both proposed algorithm and morphological filtering algorithm under different temperature drift interference were compared. The results show that the proposed algorithm can effectively eliminate the temperature drift interference,and enhance the signal-to-noise ratio by more than 4 dB.