The Road Friction Coefficient Estimation Based on Extended Kalman Filter

2009 International Workshop on Intelligent Systems and Applications Pub Date : 2009-05-23 DOI:10.1109/IWISA.2009.5073206

Tianjun Zhu, C. Zong

引用次数: 3

Abstract

The road-tire friction coefficient has important role in vehicle dynamic control systems like adaptive cruise control system (ACC), vehicle dynamic control (VDC), direct yaw-torque control system (DYC) etc. This paper introduces a new predictive methodology for the estimation of road-tire friction coefficient by using Dugoff tire model and the extended Kalman filter. At the same time, a simulation verification of the road/tire coefficient estimation has been made using the software CarSim7.0. The result shows that the EKF estimation accuracy of road/tire friction coefficient is satisfied very well. Keywords-road-tire friction coefficient;extended kalman filter; estimation

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基于扩展卡尔曼滤波的道路摩擦系数估计

路面-轮胎摩擦系数在自适应巡航控制系统(ACC)、车辆动态控制系统(VDC)、直接偏航力矩控制系统(DYC)等车辆动态控制系统中具有重要作用。本文介绍了一种基于Dugoff轮胎模型和扩展卡尔曼滤波的路面-轮胎摩擦系数预测方法。同时，利用CarSim7.0软件对道路/轮胎系数估计进行了仿真验证。结果表明，路面/轮胎摩擦系数的EKF估计精度令人满意。路面-轮胎摩擦系数;扩展卡尔曼滤波;估计

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2009 International Workshop on Intelligent Systems and Applications

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