Robust Tube-Based Model Predictive Control for Lane Change Maneuver of Tractor-Trailer Vehicles Based on a Polynomial Trajectory

被引:43
|
作者
Yue, Ming [1 ]
Hou, Xiaoqiang [1 ]
Zhao, Xudong [2 ,3 ,4 ]
Wu, Xiangmin [1 ]
机构
[1] Dalian Univ Technol, Dept Automot Engn, Dalian 116024, Peoples R China
[2] Dalian Univ Technol, Fac Elect Informat & Elect Engn, Dalian 116024, Peoples R China
[3] Bohai Univ, Coll Engn, Jinzhou 121013, Peoples R China
[4] Chongqing SANY High Intelligent Robots Co Ltd, Chongqing 401120, Peoples R China
基金
中国国家自然科学基金;
关键词
Trajectory; Planning; Agricultural machinery; Robustness; Predictive control; Vehicle dynamics; Wheels; Lane change; quintic polynomial function; robust tube-based model predictive control (RTMPC); tractor-trailer vehicle; trajectory planning; TO-STATE STABILITY; SWITCHED SYSTEMS; TRACKING CONTROL; FEEDBACK;
D O I
10.1109/TSMC.2018.2867807
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper reports an effective quintic polynomial-based trajectory planning approach and a robust tube-based model predictive control (RTMPC) method for an underactuated tractor-trailer vehicle system during lane change maneuver. To begin with, a time-based quintic polynomial function is introduced for implementation of trajectory planning, which takes vehicle system safety, comfort, and traffic efficiency into account. After that, an RTMPC scheme, consisting of a nominal system-oriented model predictive controller and an ancillary feedback control law, is proposed to construct posture controller, such that favorable transient performances can be achieved for the trajectory tracking process. Lastly, the simulation results confirm that the proposed lane change trajectory planning and tracking control methods can effectively perform the lane change behaviors for tractor-trailer vehicles.
引用
收藏
页码:5180 / 5188
页数:9
相关论文
共 50 条
  • [1] Robust Tube-Based Decentralized Nonlinear Model Predictive Control of an Autonomous Tractor-Trailer System
    Kayacan, Erkan
    Kayacan, Erdal
    Ramon, Herman
    Saeys, Wouter
    [J]. IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2015, 20 (01) : 447 - 456
  • [2] Robust Preview-Based Tractor-Trailer Lateral Control for Lane Keeping
    Flores, Carlos
    Lu, Xiao-Yun
    [J]. 2020 AMERICAN CONTROL CONFERENCE (ACC), 2020, : 1229 - 1234
  • [3] Trajectory tracking control for tractor-trailer vehicles: a coordinated control approach
    Yue, Ming
    Hou, Xiaoqiang
    Gao, Renjing
    Chen, Jun
    [J]. NONLINEAR DYNAMICS, 2018, 91 (02) : 1061 - 1074
  • [4] Trajectory tracking control for tractor-trailer vehicles: a coordinated control approach
    Ming Yue
    Xiaoqiang Hou
    Renjing Gao
    Jun Chen
    [J]. Nonlinear Dynamics, 2018, 91 : 1061 - 1074
  • [5] Tube-Based Robust Model Predictive Control for Tracking Control of Autonomous Articulated Vehicles
    Jeong, Dasol
    Choi, Seibum B.
    [J]. IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2024, 9 (01): : 2184 - 2196
  • [6] Tube-based robust economic model predictive control
    Bayer, Florian A.
    Mueller, Matthias A.
    Allgoewer, Frank
    [J]. JOURNAL OF PROCESS CONTROL, 2014, 24 (08) : 1237 - 1246
  • [7] Tube-based robust nonlinear model predictive control
    Mayne, D. Q.
    Kerrigan, E. C.
    van Wyk, E. J.
    Falugi, P.
    [J]. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2011, 21 (11) : 1341 - 1353
  • [8] Quintic Polynomial-based Obstacle Avoidance Trajectory Planning and Tracking Control Framework for Tractor-trailer System
    Ming Yue
    Xiangmin Wu
    Lie Guo
    Junjie Gao
    [J]. International Journal of Control, Automation and Systems, 2019, 17 : 2634 - 2646
  • [9] Quintic Polynomial-based Obstacle Avoidance Trajectory Planning and Tracking Control Framework for Tractor-trailer System
    Yue, Ming
    Wu, Xiangmin
    Guo, Lie
    Gao, Junjie
    [J]. INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2019, 17 (10) : 2634 - 2646
  • [10] Robust Trajectory Tracking Control of an Autonomous Tractor-Trailer Considering Model Parameter Uncertainties and Disturbances
    Lu, En
    Xue, Jialin
    Chen, Tiaotiao
    Jiang, Song
    [J]. AGRICULTURE-BASEL, 2023, 13 (04):