The control strategy of the electric power steering system for steering feel control

稳健性(进化) 扭矩转向 控制理论(社会学) 动力转向 计算机科学 转向系统 扭矩 方向盘 控制(管理) 控制工程 工程类 汽车工程 人工智能 基因 物理 化学 热力学 生物化学
作者
Xin Guan,Yu-Ning Zhang,Pingping Lu,Chunguang Duan,Jun Zhan
出处
期刊:Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering [SAGE Publishing]
卷期号:238 (2-3): 347-357 被引量:7
标识
DOI:10.1177/09544070221132131
摘要

The steering feel is mostly indirectly adjusted by directly modifying the assist’s magnitude of the electric power steering system. The adjustment is complex, and workload is large, and the steering feel is highly dependent on the performance of the hardware. It has poor robustness to vehicle performance degradation and external disturbance, so providing a consistent and controllable steering feel is not easy. This paper proposes an EPS control strategy for steering feel control based on closed-loop control of steering motion to solve the above problems. Firstly, take the driver’s desired steering motion intensity and pinion angle position as intermediate variables to decompose the EPS control strategy into three parts: steering style, the desired pinion angle calculation, and the desired steering resistance moment calculation. This decomposition method makes the steering feel control independent of the vehicle dynamics characteristics and reduces the difficulty of vehicle characteristic calibration and correction. In addition, a steering style model based on Stevens’ law and considering hysteresis characteristics is proposed. The steering feel can be directly controlled based on calibrating the vehicle's dynamic characteristics and the designed steering style. The test results driven by ACSL driving simulators of Jilin University show that adopting the control strategy proposed in this paper can improve the vehicle’s return-to-center performance, realize the designed driving style, and provide consistent and controllable steering feel with the design hysteresis characteristic. In addition, it has good robustness against the deterioration of vehicle hardware performance and external disturbance.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
英姑应助忐忑的以旋采纳,获得10
2秒前
清脆巧蕊发布了新的文献求助10
2秒前
2秒前
gf49973完成签到,获得积分10
3秒前
tss关注了科研通微信公众号
3秒前
3秒前
5秒前
强love晓完成签到,获得积分20
6秒前
7秒前
万能图书馆应助Tang采纳,获得10
8秒前
9秒前
Owen应助无聊的星期三采纳,获得10
10秒前
qiudaoyu完成签到,获得积分10
10秒前
霸别发布了新的文献求助10
11秒前
CodeCraft应助徐沛采纳,获得10
11秒前
12秒前
13秒前
14秒前
奶油桃子完成签到,获得积分10
15秒前
molihuakai应助清脆巧蕊采纳,获得10
16秒前
echo完成签到,获得积分10
17秒前
E上电_GWJ完成签到,获得积分10
18秒前
Lengbo完成签到,获得积分10
19秒前
酷波er应助慕容无敌采纳,获得10
19秒前
罗显发发布了新的文献求助10
20秒前
手握灵珠常奋笔完成签到,获得积分10
20秒前
20秒前
21秒前
志灰灰完成签到,获得积分10
22秒前
叡叡发布了新的文献求助10
23秒前
23秒前
25秒前
丘比特应助栗子采纳,获得10
25秒前
奶油桃子发布了新的文献求助10
26秒前
zhouye完成签到,获得积分10
26秒前
27秒前
daqisong完成签到,获得积分10
27秒前
Orange应助自由雪菲力采纳,获得10
28秒前
孔孔完成签到,获得积分10
28秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 800
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Materials selection in mechanical design 500
Bounds for Statistical Estimation in Semiparametric Models 500
Climate change and sports: Statistics report on climate change and sports 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6476436
求助须知:如何正确求助?哪些是违规求助? 8278741
关于积分的说明 17655030
捐赠科研通 5558219
什么是DOI,文献DOI怎么找? 2910560
邀请新用户注册赠送积分活动 1887518
关于科研通互助平台的介绍 1740636