• DocumentCode
    60903
  • Title

    Coordinated Iterative Learning Control Schemes for Train Trajectory Tracking With Overspeed Protection

  • Author

    Heqing Sun ; Zhongsheng Hou ; Dayou Li

  • Author_Institution
    Adv. Control Syst. Lab., Beijing Jiaotong Univ., Beijing, China
  • Volume
    10
  • Issue
    2
  • fYear
    2013
  • fDate
    Apr-13
  • Firstpage
    323
  • Lastpage
    333
  • Abstract
    This work embodies the overspeed protection and safe headway control into an iterative learning control (ILC) based train trajectory tracking algorithm to satisfy the high safety requirement of high-speed railways. First, a D-type ILC scheme with overspeed protection is proposed. Then, a corresponding coordinated ILC scheme with multiple trains is studied to keep the safe headway. Finally, the control scheme under traction/braking force constraint is also considered for this proposed ILC-based train trajectory tracking strategy. Rigorous theoretical analysis has shown that the proposed control schemes can guarantee the asymptotic convergence of train speed and position to its desired profiles without requirement of the physical model aside from some mild assumptions on the system. Effectiveness is further evaluated through simulations.
  • Keywords
    convergence; iterative methods; learning systems; railway safety; traction; trajectory control; D-type ILC scheme; asymptotic convergence; coordinated iterative learning control schemes; high-speed railways; multiple trains; overspeed protection; safe headway control; traction-braking force constraint; train position; train speed; train trajectory tracking algorithm; Convergence; Dynamics; Force; Safety; Trajectory; Uncertainty; Vehicle dynamics; Input constraint; iterative learning control; overspeed protection; safe headway; train control;
  • fLanguage
    English
  • Journal_Title
    Automation Science and Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1545-5955
  • Type

    jour

  • DOI
    10.1109/TASE.2012.2216261
  • Filename
    6338304