Robust H∞ output-feedback control for path following of autonomous ground vehicles

被引:236
|
作者
Hu, Chuan [1 ,2 ]
Jing, Hui [2 ,3 ]
Wang, Rongrong [2 ]
Yan, Fengjun [1 ]
Chadli, Mohammed [4 ]
机构
[1] McMaster Univ, Dept Mech Engn, Hamilton, ON L8S 4L8, Canada
[2] Southeast Univ, Sch Mech Engn, Nanjing 211189, Jiangsu, Peoples R China
[3] Guilin Univ Elect Technol, Sch Mech & Elect Engn, Guilin 541004, Peoples R China
[4] Univ Picardie Jules Verne, MIS EA 4290, F-80039 Amiens, France
基金
中国国家自然科学基金;
关键词
Autonomous ground vehicles; Path following; Robust control; Static output-feedback; LATERAL DYNAMICS; TRACKING; DESIGN; ASSISTANCE; ALGORITHMS; SYSTEMS;
D O I
10.1016/j.ymssp.2015.09.017
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
This paper presents a robust H-infinity output-feedback control strategy for the path following of autonomous ground vehicles (AGVs). Considering the vehicle lateral velocity is usually hard to measure with low cost sensor, a robust H-infinity static output-feedback controller based on the mixed genetic algorithms (GA)/linear matrix inequality (LMI) approach is proposed to realize the path following without the information of the lateral velocity. The proposed controller is robust to the parametric uncertainties and external disturbances, with the parameters including the tire cornering stiffness, vehicle longitudinal velocity, yaw rate and road curvature. Simulation results based on CarSim-Simulink joint platform using a high-fidelity and full-car model have verified the effectiveness of the proposed control approach. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:414 / 427
页数:14
相关论文
共 50 条
  • [1] Robust H∞ Output-Feedback Control for Path Following of Autonomous Ground Vehicles
    Jing, Hui
    Hu, Chuan
    Yan, Fengjun
    Chadli, Mohammed
    Wang, Rongrong
    Chen, Nan
    2015 54TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2015, : 1515 - 1520
  • [2] Output-feedback triple-step coordinated control for path following of autonomous ground vehicles
    Wang, Yulei
    Ding, Haitao
    Yuan, Jingxin
    Chen, Hong
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2019, 116 : 146 - 159
  • [3] Robust H∞ output-feedback control for lane keeping of autonomous ground vehicles considering the system uncertainties
    Xu, Jiaye
    Tang, Jiaxuan
    Liu, Congzhi
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 2024,
  • [4] Personalized path generation and robust H∞ output-feedback path following control for automated vehicles considering driving styles
    Chen, Yimin
    Zhang, Yuanxu
    Zhang, Feihu
    IET INTELLIGENT TRANSPORT SYSTEMS, 2021, 15 (12) : 1582 - 1595
  • [5] Path planning and robust fuzzy output-feedback control for unmanned ground vehicles with obstacle avoidance
    Chen, Yimin
    Hu, Chuan
    Qin, Yechen
    Li, Mingjun
    Song, Xiaolin
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 2021, 235 (04) : 933 - 944
  • [6] Input-Constrained LPV Output Feedback Control for Path Following of Autonomous Ground Vehicles
    Anh-Tu Nguyen
    Zhang, Hui
    Sentouh, Chouki
    Popieul, Jean-Christophe
    2018 ANNUAL AMERICAN CONTROL CONFERENCE (ACC), 2018, : 3233 - 3238
  • [7] Robust H∞ Path Following Control for Autonomous Ground Vehicles With Delay and Data Dropout
    Wang, Rongrong
    Jing, Hui
    Hu, Chuan
    Yan, Fengjun
    Chen, Nan
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2016, 17 (07) : 2042 - 2050
  • [8] Observer-based state-feedback robust control for path following of autonomous ground vehicles
    Feng, Pengpeng
    Zhang, Jianwu
    Yang, Weimiao
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING, 2020, 234 (02) : 222 - 239
  • [9] Robust H-infinity Output-Feedback Yaw Control for Vehicles with Differential Steering
    Oke, Paul
    Nguang, Sing Kiong
    Qu, Wentai
    JOURNAL OF CONTROL SCIENCE AND ENGINEERING, 2018, 2018
  • [10] Output-Feedback Path-Following Control of Autonomous Underwater Vehicles Based on an Extended State Observer and Projection Neural Networks
    Peng, Zhouhua
    Wang, Jun
    IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2018, 48 (04): : 535 - 544