Model Reference Adaptive algorithm Designed for Automatic Train Braking Control

被引:4
|
作者
Luo, Hengyu [1 ]
Xu, Hongze [1 ]
机构
[1] Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing, Peoples R China
关键词
Model Reference Adaptive Control; Tracking Control; Lyapunov Theory; ATO;
D O I
10.4028/www.scientific.net/AMM.253-255.1374
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This paper investigates the automatic train braking control problem of ATC (Automatic Train Control) system under uncertain disturbances. An adaptive control algorithm is developed to ensure high precision tracking performance of the acceleration during the braking process, according to a standard reference model which has been widely used in the urban vehicles. The control parameter's adaptive law is strictly deduced based on the Lyapunov Stability Theory. Rigorous analysis has shown that the train controlled by this method based ATO (Automatic Train Operation) system can effectively track the reference trajectory. Numerical simulation also verifies the effectiveness of this adaptive control algorithm.
引用
收藏
页码:1374 / 1379
页数:6
相关论文
共 50 条
  • [31] Variable Structure Model Reference Adaptive Control, for Vehicle Automatic Steering System
    Mohammadi, Ardeshir Karami
    Saee, Mohammadreza
    [J]. SECOND INTERNATIONAL CONFERENCE ON COMPUTER AND ELECTRICAL ENGINEERING, VOL 2, PROCEEDINGS, 2009, : 661 - 665
  • [32] Physically Realizable Reference Model-based Algorithm of Adaptive Control
    Rutkovskii, V. Yu.
    Glumov, V. M.
    Sukhanov, V. M.
    [J]. AUTOMATION AND REMOTE CONTROL, 2011, 72 (08) : 1667 - 1678
  • [33] Model reference adaptive control based on particle swarm optimization algorithm
    Xu, Zhicheng
    Zhang, Jianming
    Su, Chengli
    Wang, Shuqing
    [J]. Gaojishu Tongxin/Chinese High Technology Letters, 2006, 16 (03): : 262 - 266
  • [35] NEW ROBUST MODEL-REFERENCE ADAPTIVE-CONTROL ALGORITHM
    FENG, G
    [J]. IEE PROCEEDINGS-CONTROL THEORY AND APPLICATIONS, 1994, 141 (03): : 177 - 180
  • [36] Physically realizable reference model-based algorithm of adaptive control
    V. Yu. Rutkovskii
    V. M. Glumov
    V. M. Sukhanov
    [J]. Automation and Remote Control, 2011, 72 : 1667 - 1678
  • [37] Braking process identification of high-speed trains for automatic train stop control
    Liu, Xiaoyu
    Xun, Jing
    Ning, Bin
    Wang, Cheng
    [J]. ISA TRANSACTIONS, 2021, 111 : 171 - 179
  • [38] Drivers' Adaptation to Adaptive Cruise Control: Examination of Automatic and Manual Braking
    Xiong, Huimin
    Boyle, Linda Ng
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2012, 13 (03) : 1468 - 1473
  • [39] ADAPTIVE AND ROBUST AUTOMATIC TRAIN CONTROL SYSTEMS WITH INPUT SATURATION
    Gao, Shigen
    Dong, Hairong
    Chen, Yao
    Ning, Bin
    Chen, Guanrong
    [J]. CONTROL AND INTELLIGENT SYSTEMS, 2013, 41 (02) : 103 - 111
  • [40] CONTRACTION-BASED ADAPTIVE CONTROL FOR AUTOMATIC TRAIN OPERATION
    Wang, Longsheng
    Xu, Hongze
    Luo, Hengyu
    [J]. CONTROL AND INTELLIGENT SYSTEMS, 2016, 44 (01) : 1 - 9