This paper presents work on a hybrid fuzzy control scheme to improve the performance of tilting trains using a nulling-based tilt strategy. Two multi-objective genetic algorithm tuning methods (MOGA and NSGAII) were employed to optimise both the fuzzy output membership functions and the controller parameters. The objective functions incorporated the tilt response and roll gyroscope signals for the deterministic (curved track) profile, and lateral acceleration for the stochastic (straight track) profile. Simulation results discuss the effectiveness of using the presented techniques for tuning the fuzzy control scheme via multiple objectives. The proposed scheme is compared with the conventional nulling-tilt approach and a manually tuned fuzzy controller.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Tilt control design for high-speed trains: a study on multi-objective tuning approaches


    Beteiligte:

    Erschienen in:

    Vehicle System Dynamics ; 46 , sup1 ; 535-547


    Erscheinungsdatum :

    01.09.2008




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




    Tilt control design for high-speed trains: a study on multi-objective tuning approaches

    Zamzuri,H. / Zolotas,A.C. / Goodall,R.M. et al. | Kraftfahrwesen | 2008



    Multi-Objective Optimal Control of Under-Actuated Bogie System of High Speed Trains

    Sardahi, Yousef / Yao, Yuan / Sun, Jian-Qiao | British Library Conference Proceedings | 2016


    The New High Speed Tilt Trains for Intercity Service of German Rail

    Illmer, H. / American Public Transit Association | British Library Conference Proceedings | 1995