Reachability analysis of hybrid lateral control problem for automated heavy-duty vehicles

被引:0
|
作者
Wang, JY [1 ]
Tomizuka, M [1 ]
机构
[1] Novellus Syst Inc, San Jose, CA 95134 USA
关键词
H-infinity loop-shaping; lateral control; hybrid modeling; heavy-duty vehicles;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we conduct the reachability analysis for the safe set when the lateral control problem of automated heavy-duty vehicles is formulated as a hybrid automaton. Since the lateral control problem consists of lane following and lane changing, switching between these operating modes gives the closed-loop system a hybrid nature. The lateral controller is designed using H,,. loop-shaping method to ensure the robust performance under model uncertainties. It is designed to regulate the lateral deviation of the sensor output to zero under a lane following mode or make the lateral deviation to track a desired trajectory under a lane changing maneuver. Discrete states are given to represent different closed-loop systems for different operating modes. Worst case simulations are conducted to give the reachable sets for the lateral deviations on both nominal and perturbed plants. The results show that the reachable sets are in the safe region where the difference between the desired lateral deviation and the real lateral deviation is less than 0.2 m.
引用
收藏
页码:1 / 6
页数:6
相关论文
共 50 条
  • [1] Power bus control for series hybrid heavy-duty vehicles
    Halme, Jukka
    Liukkonen, Matti
    Heiska, Matti
    Suomela, Jussi
    [J]. World Electric Vehicle Journal, 2009, 3 (01):
  • [2] Nonlinear spacing policies for automated heavy-duty vehicles
    Yanakiev, D
    Kanellakopoulos, I
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 1998, 47 (04) : 1365 - 1377
  • [3] Compression braking control for heavy-duty vehicles
    Druzhinina, M
    Moklegaard, L
    Stefanopoulou, AG
    [J]. PROCEEDINGS OF THE 2000 AMERICAN CONTROL CONFERENCE, VOLS 1-6, 2000, : 2543 - 2547
  • [4] Optimal traction control for heavy-duty vehicles
    Osinenko, Pavel
    Streif, Stefan
    [J]. CONTROL ENGINEERING PRACTICE, 2017, 69 : 99 - 111
  • [5] Dynamic modeling of heavy-duty hybrid electric vehicles
    Serrao, Lorenzo
    Hubert, Christopher J.
    Rizzoni, Giorgio
    [J]. PROCEEDINGS OF THE ASME INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION 2007, VOL 16: TRANSPORTATION SYSTEMS, 2008, : 121 - 128
  • [6] Fuel Economy of Hybrid Electric Heavy-Duty Vehicles
    Katrasnik, Tomaz
    [J]. STROJNISKI VESTNIK-JOURNAL OF MECHANICAL ENGINEERING, 2010, 56 (12): : 791 - 802
  • [7] Multiobjective Synchronous Control of Heavy-Duty Vehicles Based on Longitudinal and Lateral Coupling Dynamics
    Lu, Yongjie
    Wang, Tongtong
    Zhang, Hangxing
    [J]. SHOCK AND VIBRATION, 2022, 2022
  • [8] Review and Evaluation of Automated Charging Technologies for Heavy-Duty Vehicles
    Piedel, Emma
    Lauth, Enrico
    Grahle, Alexander
    Goehlich, Dietmar
    [J]. WORLD ELECTRIC VEHICLE JOURNAL, 2024, 15 (06):
  • [9] Control actuation of fully automated heavy-duty vehicles using SAE J1939
    Dickey, SR
    Lu, XY
    [J]. IEEE IV2003: INTELLIGENT VEHICLES SYMPOSIUM, PROCEEDINGS, 2003, : 400 - 405
  • [10] Shift sequence optimization of heavy-duty vehicles with automated manual transmission
    Liu, Hai-Ou
    Jin, Lei
    Dong, Shi-Jin
    Miao, Cheng-Sheng
    [J]. Binggong Xuebao/Acta Armamentarii, 2015, 36 (08): : 1377 - 1383