• DocumentCode
    1783596
  • Title

    Assessment of adaptive algorithms for automatic control of train braking system

  • Author

    Potapovs, Andrejs ; Levchenkov, Anatoly ; Gorobetz, Mikhail

  • Author_Institution
    Riga Tech. Univ., Riga, Latvia
  • fYear
    2014
  • fDate
    14-14 Oct. 2014
  • Firstpage
    75
  • Lastpage
    78
  • Abstract
    This paper provides a new insight into the smooth and precise adaptive railway transport braking system development. The system contains a controller with a control program based on an adaptive control algorithm and a current train braking control system ensures an automatic smooth and precise braking of a train and another controller ensures an automatic stopping of the train before the red light. Some of the adaptive search algorithms are studied and the task is to test and select the most suitable and the most effective of them. The computer model and simulation results are described in this paper.
  • Keywords
    adaptive control; braking; railway safety; railways; search problems; adaptive control algorithm; adaptive railway transport braking system development; adaptive search algorithms; automatic control; automatic precise braking; automatic smooth braking; automatic stopping; control program; railway safety; train braking control system; Adaptive algorithms; Adaptive systems; Algorithm design and analysis; Control systems; Educational institutions; Rail transportation; Software algorithms; Adaptive algorithms; Embedded software; Railway safety;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Electrical Engineering of Riga Technical University (RTUCON), 2014 55th International Scientific Conference on
  • Conference_Location
    Riga
  • Print_ISBN
    978-1-4799-7460-3
  • Type

    conf

  • DOI
    10.1109/RTUCON.2014.6998216
  • Filename
    6998216