A methodology for predictive fuzzy control in an event-driven environment for multiobjective decision making on DC railway systems is presented. Railway operation is assessed by a set of performance indices, and the aim of fuzzy control is to score the best performance among these indices. During braking, the energy released from braking should be fully utilized either by returning it to the AC supply through inverter stations or by nearby trains for accelaration. Line receptivity is essentially a measure of the amount of the energy recovered by these two means. During regenerative braking, the departure times of nearby trains could be brought forward so as to recover the surplus energy for acceleration. Such dwell time adjustment calls for sophisticated communications and coordination between trains, and gives rise to competition against other performance indices. A fuzzy rule-based reasoning algorithm is presented to achieve compromise between good regularity and high energy recovery. The proposed methodology is implemented in two control loops: on each traction station and on each train dwell time at passenger stations.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Economy/regularity fuzzy-logic control of DC railway systems using event-driven approach


    Additional title:

    Energieoptimierung durch ereignisgesteuerte Fuzzy-Logik-Regelung des Untergrundbahnbetriebs


    Contributors:
    Chang, C.S. (author) / Phoa, Y.H. (author) / Wang, W. (author) / Thia, B.S. (author)


    Publication date :

    1996


    Size :

    9 Seiten, 17 Bilder, 6 Tabellen, 8 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English





    Fuzzy Logic Slip Control Design for Railway Vehicles

    Javadi, S. / Nabizadeh, E. / WSEAS (Organization) | British Library Conference Proceedings | 2011


    Railway traffic control system based on fuzzy logic

    GUO RUI | European Patent Office | 2023

    Free access

    Fuzzy Logic Based Control of Multilevel Inverter for Railway Traction System

    Jaydeep Lakwal / Manisha Dubey | BASE | 2020

    Free access