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基于自适应卡尔曼滤波的轮速信号处理技术
引用本文:谭德荣,张莉,王艳阳.基于自适应卡尔曼滤波的轮速信号处理技术[J].汽车工程,2009,31(6).
作者姓名:谭德荣  张莉  王艳阳
作者单位:山东理工大学交通与车辆工程学院,淄博,255049
摘    要:分析了轮速信号的检测误差,建立了轮速估计的系统状态空间模型,采用了用于轮速估计的自适应卡尔曼滤波算法.利用MATLAB进行了仿真,验证了算法的有效性.实车试验表明,滤波后的轮速信号延时小,响应速度快,平滑效果比较理想,可以用来直接估计车速.

关 键 词:轮速  信号处理  自适应卡尔曼滤波

Wheel Speed Signal Processing Technique Based on Adaptive Kalman Filtering
Tan Derong,Zhang Li,Wang Yanyang.Wheel Speed Signal Processing Technique Based on Adaptive Kalman Filtering[J].Automotive Engineering,2009,31(6).
Authors:Tan Derong  Zhang Li  Wang Yanyang
Affiliation:Tan Derong,Zhang Li & Wang Yanyang School of Transportation , Vehicle Engineering,Sh,ong University of Technology,Zibo 255049
Abstract:In this paper the detection errors of wheel speed signals are analyzed,the state space model of system for wheel speed estimation is built,and an adaptive Kalman filtering algorithm is adopted to estimate wheel speed.The effectiveness of the algorithm is verified by simulation with MATLAB.The real vehicle tests indicate that the filtered wheel speed signal has small time delay and quick response with relatively ideal smoothing effects and can be used for direct speed estimation.
Keywords:wheel speed  signal processing  adaptive kalman filtering  
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