The natural cooling after the rolling of the 100-meter-long rail tends to curve the rail from the bottom to the head. Based on the analysis of the rail pre-bending process, this thesis proposes the implementation plan of the pre-bending vehicle control system. The position loop uses fuzzy neural network regulator and the speed loop uses PB-based neural network PID regulator. Also the thesis gives the corresponding control algorithm. The control equipment uses Siemens advanced SIMATIC PCS7 process control system. Through experimental analysis, the dynamic tracking performance and the static accuracy of the system are guaranteed and the vehicle is accurately placed as expected.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Research on Heavy Rail Pre-Bending Vehicle Control Technology Based on Fuzzy Neural Network



    Erschienen in:

    Advanced Materials Research ; 201-203 ; 2379-2384


    Erscheinungsdatum :

    2011-02-21


    Format / Umfang :

    6 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch






    Light Rail and Heavy Rail: A Fuzzy Distinction?

    Hazeu, F. / American Public Transit Association | British Library Conference Proceedings | 1995


    Fuzzy and Neural Network Approaches for Vehicle Control

    Lin, Y. / Yu, Q. | British Library Conference Proceedings | 1997