摘要
为提高汽车制动防抱死系统(ABS)控制过程中车轮滑移率计算的准确度,利用四个车轮传感器的轮速信号,基于自适应卡尔曼滤波算法对ABS控制过程中的参考车速进行估计。通过实车试验数据,对算法在雪路面、平直沥青路面和对接路面上的有效性进行了检验。
To improve slip-rate calculation accuracy of braking wheels for vehicle anti-lock braking system （ABS） control process, the adaptive Kalman filter algorithm was adopted to realize estimation of vehicle reference speed. In the reference speed estimation period, the basic information was rotation speed signal from 4 braking wheels of the car. The effectiveness of this new method was checked by using pragmatic road test data that had been collected on the snowcovered road, dry asphalt road, and transition coefficient road surface respectively.
出处
《农业机械学报》
EI
CAS
CSCD
北大核心
2006年第4期9-11,41,共4页
Transactions of the Chinese Society for Agricultural Machinery
基金
国家自然科学基金资助项目(项目编号:50122155)
关键词
参考车速
ABS
自适应卡尔曼滤波
Reference speed, Anti-lock braking system, Adaptive Kalman filter
