Path Tracking Control Method with Steering Lag for Autonomous Vehicles

被引:0
|
作者
Lü, Ying [1 ,2 ,3 ]
Qi, Xu [1 ,2 ]
Liu, Qiuzheng [1 ,2 ]
Wang, Xinyu [3 ]
Chen, Guoying [4 ]
机构
[1] National Key Laboratory of Advanced Vehicle Integration and Control, Changchun,130000, China
[2] China FAW Co., Ltd., Changchun,130000, China
[3] College of Automotive Engineering, Jilin University, Changchun,130022, China
[4] Jilin University, State Key Laboratory of Automotive Simulation and Control, Changchun,130022, China
来源
关键词
Automobile drivers - Automobile steering equipment - Controllers - Errors - Navigation - State feedback - Steering;
D O I
10.19562/j.chinasae.qcgc.2023.12.005
中图分类号
学科分类号
摘要
The automatic driving path tracking system is an important supporting technology for realizing automatic driving above L2 level. The delayed response characteristic of the linear steering system reduces the robustness and control accuracy of the path-tracking controller, with even instability at high speed. For the above problems, an error tracking control architecture with feedforward plus finite time domain full state feedback is designed in this paper, on the basis of which the steering system delay is modeled as a first-order inertial link and integrated into the error tracking control architecture as a state variable augmentation. In this paper, the proposed tracking controllers are compared and validated using joint simulation tests, and the validation results show that the maximum lateral error of the proposed controllers is less than 0.3 m in the right-angle corner and high-speed lane change scenarios, and the steering wheel's rotational angle rms variance is reduced by 1.93% and 64.22%, respectively. The final results of the real-vehicle tests show that the controller proposed in this paper can effectively improve the lateral control accuracy in the high-speed lane-changing scenario, with the maximum lateral error less than 0.11 m. © 2023 SAE-China. All rights reserved.
引用
收藏
页码:2234 / 2241
相关论文
共 50 条
  • [1] Design of a Path-Tracking Steering Controller for Autonomous Vehicles
    Sun, Chuanyang
    Zhang, Xin
    Xi, Lihe
    Tian, Ying
    [J]. ENERGIES, 2018, 11 (06):
  • [2] A Fault-Tolerant Steering Control Design for Automatic Path Tracking in Autonomous Vehicles
    Fekih, Afef
    Devariste, Darlene
    [J]. 2013 AMERICAN CONTROL CONFERENCE (ACC), 2013, : 5146 - 5151
  • [3] Disturbance Adaptive Steering Wheel Torque Control for Enhanced Path Tracking of Autonomous Vehicles
    Lee, Dongpil
    Yi, Kyongsu
    [J]. 2017 AMERICAN CONTROL CONFERENCE (ACC), 2017, : 2321 - 2326
  • [4] Hierarchical Control for Path Tracking of Autonomous Vehicles
    Chen, Changfang
    Jia, Yingmin
    Du, Junping
    Zhang, Jun
    [J]. 2012 IEEE 51ST ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2012, : 5619 - 5624
  • [5] Optimal Control Method of Path Tracking for Four-Wheel Steering Vehicles
    Tan, Xiaojun
    Liu, Deliang
    Xiong, Huiyuan
    [J]. ACTUATORS, 2022, 11 (02)
  • [6] Fuzzy path tracking control for automatic steering of vehicles
    El Hajjaji, A
    Bentalba, S
    [J]. ROBOTICS AND AUTONOMOUS SYSTEMS, 2003, 43 (04) : 203 - 213
  • [7] MODEL PREDICTIVE CONTROL STRATEGY FOR SMOOTH PATH TRACKING OF AUTONOMOUS VEHICLES WITH STEERING ACTUATOR DYNAMICS
    Kim, E.
    Kim, J.
    Sunwoo, M.
    [J]. INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY, 2014, 15 (07) : 1155 - 1164
  • [8] The Path Tracking of Four-Wheel Steering Autonomous Vehicles via Sliding Mode Control
    Wang, Ruijie
    Yin, Guodong
    Zhuang, Jiayu
    Zhang, Ning
    Chen, Jiansong
    [J]. 2016 IEEE VEHICLE POWER AND PROPULSION CONFERENCE (VPPC), 2016,
  • [9] Model predictive control strategy for smooth path tracking of autonomous vehicles with steering actuator dynamics
    E. Kim
    J. Kim
    M. Sunwoo
    [J]. International Journal of Automotive Technology, 2014, 15 : 1155 - 1164
  • [10] A Novel Fuzzy Observer-Based Steering Control Approach for Path Tracking in Autonomous Vehicles
    Zhang, Changzhu
    Hu, Jinfei
    Qiu, Jianbin
    Yang, Weilin
    Sun, Hong
    Chen, Qijun
    [J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2019, 27 (02) : 278 - 290