The study covers the development of a mathematical model of a micro gas turbine (MGTE) operating under transient conditions using a recurrent neural network. The compressor inlet temperature and pressure depending on the aircraft height and speed are taken into account explicitly. A full-size mathematical dynamic MGTE model based on engine per-unit description was used to verify the developed model. The obtained model was compared with the existing one employing normalized parameters of aircraft flight level and airspeed. The simulation suggests that the proposed model yields significantly smaller errors than the existing one, whereas the computation time of both models differs insignificantly.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Development of a neural network model of a micro gas turbine engine


    Beteiligte:


    Erscheinungsdatum :

    2016




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




    Micro gas turbine engine imitation model

    A. V. Kuznetsov / G. M. Makaryants | DOAJ | 2017

    Freier Zugriff

    The experimental study of neural network control system for a micro turbine engine

    Zhang, Tian-hong / Huang, Xianghua / Li, Qiu-hua | Tema Archiv | 2009


    Development of Test Bench for Micro Gas Turbine Engine

    Rajeevalochanam, Prathapanayaka / Vinod Kumar, N. / Agnimitra Sunkara, S. N. et al. | TIBKAT | 2023


    Development of Test Bench for Micro Gas Turbine Engine

    Rajeevalochanam, Prathapanayaka / Vinod Kumar, N. / Agnimitra Sunkara, S. N. et al. | Springer Verlag | 2022


    DEVELOPMENT OF A MICRO GAS TURBINE ENGINE AT ONERA

    Guidez, J. / Josso, P. / Nicoul, F.-X. et al. | British Library Conference Proceedings | 2009