一种改进的车辆路面附着系数识别算法

Fei Gao, Yun-Cen Zhao, Lu Zhang, G. Wang
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引用次数: 0

摘要

针对车辆路面附着系数识别是车辆动力学与控制研究中的一个重要课题,提出了改进算法来识别各个轮胎的路面附着系数。基于车辆路面附着系数,得出车辆路面附着系数、车辆利用附着系数、轮胎利用附着系数、滑移率和坡度摩擦系数之间的关系,得到车辆横摆角速度偏差和侧向加速度偏差的综合补偿双非线性表征方法中的车辆附着系数,辨识出各路面轮胎的附着系数。通过Matlab/simulink软件建立仿真模型,在低附着路面上验证改进算法。结果表明,在低附着系数路面下,改进算法能有效识别路面各轮胎附着系数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Improved Algorithm for Identifying the Vehicle Road Adhesion Coefficient
ue to the vehicle road adhesion coefficient recognition is an important subject in research on dynamics and control of vehicle, put forward the improved algorithm to identify each tire of the road adhesion coefficient. Get the vehicle adhesion coefficient in the comprehensive compensation double nonlinearity characterization method of yaw rate deviation and lateral acceleration deviation based on vehicle road adhesion coefficient, the relationship between the vehicle road adhesion coefficient, the vehicle utilization adhesion coefficient, tire utilization adhesion coefficient, and slip rate and the friction coefficient of the slope, identify the adhesion coefficient of each the road tire. Through the Matlab/simulink software to build simulation model, verify the improved algorithm on the low adhesion road. Results show that in the low adhesion road, the improved algorithm can effectively identify each tire adhesion coefficient of road.
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