Disturbance Observer-Based Tracking Control of High-Speed Trains Under Adhesion Dynamics

被引:4
|
作者
Yao, Xiuming [1 ]
Zhao, Boyang [1 ]
Li, Shaohua [2 ]
机构
[1] Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China
[2] Hikvis, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
Adhesives; Wheels; Force; Rails; Torque; Resistance; Friction; Disturbance observer; high-speed trains; adhesion control; fast terminal sliding mode control; feedback linearization; ITERATIVE LEARNING CONTROL; ADAPTIVE-CONTROL; OPERATION; DESIGN;
D O I
10.1109/TASE.2023.3238811
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
As the anti-skid control and speed tracking control of high-speed trains (HSTs) are interrelated and mutually constrained, it is very challenging to achieve simultaneous tracking of speed and slip ratio. In this paper, it is proposed for the first time that when the traction braking force has been limited to a reasonable range by the adhesion anti-skid condition, the high-precision tracking of the position and velocity curves of HSTs can be achieved, and the tracking error of the slip ratio is acceptable. Firstly, a novel modelling of the adhesion dynamics of HSTs under realistic gusts of wind disturbance is developed, and a model based on strict feedback is obtained by linearising the feedback for high-order non-linear systems. Then, this paper first presents the design scheme of fast terminal sliding mode controller based on disturbance observer for HSTs, which can ensure the anti-disturbance performance and accurate tracking of HSTs. Finally, an example is used to verify the validity of the results. Note to Practitioners-The actual traction/braking force of HSTs is provided by adhesion, and the existing literature on slip ratio tracking essentially sacrifices the tracking performance of the traction/braking system to meet the anti-skid requirements, while considering velocity and position tracking alone may leave the train in an undesired condition such as "idling" or "skidding". This paper seeks to achieve high accuracy tracking of velocity and position profiles of HSTs under restricting the slip ratio to a reasonable range, which is expected to be an effective method for train tracking controller design. To avoid discomfort to passengers, nonlinearities dynamics are considered and an anti-disturbance controller is designed to compensate the impact of natural wind disturbances. To enhance the practicality, feedback linearization is introduced to reduce the complexity of the controller implementation. The designed fast terminal sliding mode controller also avoids jitter and singularity problems and obtains finite time stability. The stability analysis and numerical simulation have confirmed the effectiveness of the proposed scheme, which still needs to be verified by experiments in the future.
引用
收藏
页码:1727 / 1739
页数:13
相关论文
共 50 条
  • [1] Tracking Control of High-Speed Trains Based on An Improve Disturbance Observer
    Zhang, Jian-Ping
    Deng, Lin-Bao
    Xie, Chun-Hua
    [J]. 2023 IEEE 12TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE, DDCLS, 2023, : 585 - 591
  • [2] Disturbance observer-based fuzzy fault-tolerant control for high-speed trains with multiple disturbances
    Wang, Qian-Ling
    Ma, Cai-Qing
    Lin, Xue
    [J]. CHINESE PHYSICS B, 2023, 32 (10)
  • [3] Disturbance observer-based fuzzy fault-tolerant control for high-speed trains with multiple disturbances
    王千龄
    马彩青
    林雪
    [J]. Chinese Physics B, 2023, 32 (10) : 441 - 449
  • [4] Robust Distributed Cruise Control of Multiple High-Speed Trains Based on Disturbance Observer
    Wang, Xi
    Zhu, Li
    Wang, Hongwei
    Tang, Tao
    Li, Kaicheng
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 22 (01) : 267 - 279
  • [5] Iterative Learning Operation Control of High-Speed Trains With Adhesion Dynamics
    Huang, Deqing
    Yang, Wanqiu
    Huang, Tengfei
    Qin, Na
    Chen, Yong
    Tan, Ying
    [J]. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2021, 29 (06) : 2598 - 2608
  • [6] Adaptive Position Tracking Control of High-speed Trains with Piecewise Dynamics
    Mao, Zehui
    Tao, Gang
    Jiang, Bin
    Yan, Xing-Gang
    [J]. 2017 AMERICAN CONTROL CONFERENCE (ACC), 2017, : 2453 - 2458
  • [7] Disturbance Observer-Based Control for Trajectory Tracking of a Quadrotor
    Ha, Sang Wook
    Park, Bong Seok
    [J]. ELECTRONICS, 2020, 9 (10) : 1 - 13
  • [8] Disturbance observer-based sliding mode control of active vertical suspension for high-speed rail vehicles
    Shi, Huailong
    Zeng, Jing
    Guo, Jinying
    [J]. VEHICLE SYSTEM DYNAMICS, 2024, 62 (11) : 2912 - 2935
  • [9] Observer-based adaptive memory event-triggered consensus tracking control for high-speed train under DoS attacks
    Sun, Nan
    Zhang, Tong
    [J]. NONLINEAR DYNAMICS, 2024, 112 (20) : 18377 - 18395
  • [10] Augmented Disturbance Observer-Based Appointed-Time Tracking Control of UAVs Under Exogenous Disturbance
    Huang, Zhengguo
    Chen, Mou
    [J]. IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2024, 9 (01): : 2822 - 2835