The Active Front Steering Control Strategy Based on Driver Behavior

被引：0
|
作者：
Zhao, Jian [1 ]
Su, Yunfu [1 ]
Zhu, Bing [1 ]
Wang, Pengfei [2 ]
机构：
[1] Jilin Univ, State Key Lab Automot Simulat & Control, Changchun 130022, Peoples R China
[2] Truck Factor FAW Jiefang Automot Co Ltd, Changchun 130011, Peoples R China
来源：
MECHATRONICS, ROBOTICS AND AUTOMATION, PTS 1-3 | 2013年 / 373-375卷
关键词：
Vehicle Engineering; Active Front Steering; Driver Behavior; Driver preview model;
D O I：
10.4028/www.scientific.net/AMM.373-375.1277
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Active Front Steering (AFS) is an important application to improve the stability of the vehicle, and the driver characteristic is also an important factor for the vehicle stability. In this article, a driver-behavior-based prediction control algorithm for AFS is proposed. According to the informed road trajectory, the ideal preview driver model is introduced to predict the future steering wheel angle. Based on this, a two-degree-of-freedom (2DOF) reference vehicle model and a PID controller are used to generate active steering control. The algorithm is verified by Carsim and Matlab/Simulink co-simulation, and the results show that trajectory tracking of the vehicle can be guarantee and driver manipulation duty can be reduced.
引用
收藏
页码：1277 / +
页数：3
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