The Design of Driverless Vehicle Trajectory Tracking Control Strategy

被引:9
作者
Li, Yunxiao [1 ,2 ]
Ni, Jun [1 ,2 ]
Hu, Jibin [1 ,2 ]
Pan, Bo [1 ,2 ]
机构
[1] Beijing Inst Technol, Natl Key Lab Vehicular Transmiss, Beijing 10081, Peoples R China
[2] Beijing Inst Technol, Sch Mech Engn, Beijing 10081, Peoples R China
关键词
driverless vehicle; trajectory tracking; dynamic performance; stability; AVOIDANCE;
D O I
10.1016/j.ifacol.2018.10.137
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
At present, driverless vehicles have become another important developing direction for emancipating mankind For the current development stage of driverless vehicles, trajectory tracking capability is a very significant part, and its control effect has a great impact on driverless vehicles. Nowadays, the application of vehicle dynamics in the research of trajectory tracking control strategy is very limited. This paper will design a trajectory tracking strategy for driverless vehicles based on vehicle dynamics Firstly, we establish a 7-DOF dynamic model of vehicle. And the Magic Formula tire model is built based on the experimental data. Then we begin to design trajectory tracking control strategy. Through the vertical and horizontal control of the driverless vehicle, the stability limit can be achieved and the accuracy of trajectory tracking can be guaranteed. Based on the designed trajectory tracking control strategy, the principle prototype vehicle is used to verify. The experimental results show that the proposed trajectory tracking control strategy works well and achieves the goal, which is to reach the stability limit and ensure the accuracy of trajectory tracking. The principle prototype vehicle is used to verify the designed trajectory tracking control strategy. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码:738 / 745
页数:8
相关论文
共 50 条
[1]   Adaptive trajectory tracking control strategy of intelligent vehicle [J].
Zhang, Shuo ;
Zhao, Xuan ;
Zhu, Guohua ;
Shi, Peilong ;
Hao, Yue ;
Kong, Lingchen .
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2020, 16 (05)
[2]   Trajectory Tracking Control of Driverless Racing Car Under Extreme Conditions [J].
Zhang, Sucai ;
Li, Gang ;
Wang, Liyong .
IEEE ACCESS, 2022, 10 :36778-36790
[3]   Autonomous Trajectory Tracking Control Strategy of Overactuated Remotely Operated Vehicle [J].
Liu, Jiaxun ;
Zhang, Jialei ;
Liu, Yifan ;
Zheng, Jinrong ;
Xiang, Xianbo .
2024 9TH INTERNATIONAL CONFERENCE ON AUTOMATION, CONTROL AND ROBOTICS ENGINEERING, CACRE 2024, 2024, :237-241
[4]   Robust controller design for trajectory tracking of autonomous vehicle [J].
Xueyun L. ;
Shuang L. ;
Ju Z. .
International Journal of Vehicle Performance, 2020, 6 (04) :381-398
[5]   Slip-aware Adaptive Trajectory Tracking Control Strategy for Autonomous Tracked Vehicle [J].
Wu, Yang ;
Wang, Cong ;
Dong, Guoxin ;
Zeng, Riya ;
Cao, Kai ;
Cao, Dongpu .
Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2024, 60 (24) :211-225
[6]   Nonlinear feedback control and trajectory tracking of vehicle [J].
Abbassi, Younes ;
Ait-Amirat, Youcef ;
Outbib, Rachid .
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2015, 46 (16) :2873-2886
[7]   Trajectory Tracking Control for Connected Vehicle Platoon [J].
Li, Yongfu ;
Wu, Changqiang ;
Peeta, Srinivas ;
Wang, Yibing .
IFAC PAPERSONLINE, 2018, 51 (09) :92-97
[8]   Model Predictive Trajectory Tracking Control of an Underactuated Bionic Underwater Vehicle [J].
Wang, Kaihui ;
Zou, Wei ;
Ma, Ruichen ;
Wang, Yu ;
Su, Hu .
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2024, 29 (03) :1690-1701
[9]   Trajectory tracking of unmanned aerial vehicle using servomechanism strategy [J].
Kakirde, NP ;
Davari, A ;
Wang, J .
PROCEEDINGS OF THE THIRTY-SEVENTH SOUTHEASTERN SYMPOSIUM ON SYSTEM THEORY, 2005, :163-166
[10]   Design of Fractional-Order Controller for Trajectory Tracking Control of a Non-holonomic Autonomous Ground Vehicle [J].
Al-Mayyahi A. ;
Wang W. ;
Birch P. .
Journal of Control, Automation and Electrical Systems, 2016, 27 (01) :29-42