估计员
路面
工程类
车辆动力学
摩擦系数
电子稳定控制
度量(数据仓库)
汽车工程
理论(学习稳定性)
偏航
估计
控制理论(社会学)
控制(管理)
计算机科学
数学
人工智能
系统工程
统计
土木工程
材料科学
数据库
机器学习
复合材料
作者
Taehyun Shim,Donald L. Margolis
标识
DOI:10.1080/00423110412331315150
摘要
The tire/road friction coefficient, μ, has a significant role in vehicle longitudinal and lateral control, and there has been associated efforts to measure or estimate the road surface condition to provide additional information for stability augmentation systems of automobiles. In this paper, a model based road friction estimation algorithm is proposed from easily measured signals such as yaw rate and wheel speed. For the development of the estimator, a low order vehicle model incorporated with simple but effective tire model. Field tests of the estimator using actual vehicle measurements show promising results.
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