• DocumentCode
    3528070
  • Title

    Fuzzy logic based automatic braking system in trains

  • Author

    Sankar, G. ; Kumar, S. Saravana

  • Author_Institution
    Bannari Amman Inst. of Technol., Sathyamangalam
  • fYear
    2006
  • fDate
    19-21 Dec. 2006
  • Firstpage
    383
  • Lastpage
    387
  • Abstract
    This paper focuses on a new approach to braking system in train, by the using the technique of artificial intelligence applied to it. The intelligence for braking is provided by a fuzzy logic controller. The fuzzy logic controller is simulated using Matlab-Simulink fuzzy logic toolbox. Generally the Indian railways use two persons to operate a train and they employ a manual procedure for stopping the train in each station. The proposed fuzzy logic controller helps in reduction of manpower for the train operation. The simulated fuzzy logic controller gets activated at about 500 m from the station based on its decision with reference to the speed and distance, the train stops at the station smoothly and automatically.
  • Keywords
    braking; fuzzy control; locomotives; railways; vehicle dynamics; Indian railways; Matlab-Simulink fuzzy logic toolbox; artificial intelligence technique; automatic braking system; fuzzy logic controller; trains; Artificial intelligence; Automatic control; Computer languages; Control equipment; Control systems; Fuzzy control; Fuzzy logic; Fuzzy sets; Power electronics; Rail transportation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics, 2006. IICPE 2006. India International Conference on
  • Conference_Location
    Chennai
  • Print_ISBN
    978-1-4244-3450-3
  • Electronic_ISBN
    978-1-4244-3451-0
  • Type

    conf

  • DOI
    10.1109/IICPE.2006.4685402
  • Filename
    4685402