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基于自适应卡尔曼滤波算法确定汽车参考车速
引用本文:王仁广,刘昭度,齐志权,马岳峰. 基于自适应卡尔曼滤波算法确定汽车参考车速[J]. 农业机械学报, 2006, 37(4): 9-11,41
作者姓名:王仁广  刘昭度  齐志权  马岳峰
作者单位:北京理工大学机械与车辆工程学院;北京理工大学机械与车辆工程学院;北京理工大学机械与车辆工程学院;北京理工大学机械与车辆工程学院
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.

关 键 词:参考车速  ABS  自适应卡尔曼滤波
收稿时间:2005-03-14
修稿时间:2005-03-14

Vehicle Reference Speed Determination Using Adaptive Kalman Filter Algorithm
Wang Renguang,Liu Zhaodu,Qi Zhiquan,Ma Yuefeng. Vehicle Reference Speed Determination Using Adaptive Kalman Filter Algorithm[J]. Transactions of the Chinese Society for Agricultural Machinery, 2006, 37(4): 9-11,41
Authors:Wang Renguang  Liu Zhaodu  Qi Zhiquan  Ma Yuefeng
Affiliation:Beijing Institute of Technology
Abstract: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 snow-covered road, dry asphalt road, and transition coefficient road surface respectively.
Keywords:ABS
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