A technique is presented for controlling gas turbine engines that maintains thrust while minimising fuel consumption. A neural network is used to model the engine. Fuel, which is one of the inputs to the model, is decremented and the model used to forward propagate the consequences, one of which is, typically, reduced thrust. Error derivatives to restore the thrust are backpropagated through the network and the error derivatives of the inputs to the model are then used to adjust controllable engine parameters to restore thrust. This iterative technique is continued until the optimum operating point is found. Changes to the engine as a result of temperature change and wear are tracked by updating the neural network engine model online.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Using neural networks to optimise gas turbine aero engines


    Additional title:

    Neuronale Netze werden in der Luftfahrt eingesetzt, um den Betrieb einer Gasturbine hinsichtlich Verbrauch und Schub zu optimieren


    Contributors:
    Dodd, N. (author) / Martin, J. (author)

    Published in:

    Publication date :

    1997


    Size :

    7 Seiten, 1 Quelle




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




    Turbine Stresses in Aero-Engines

    Drew, D.A. | Emerald Group Publishing | 1952


    Fuels for Gas-Turbine Aero-Engines

    Sharp, J.G. | Emerald Group Publishing | 1951


    Optimisation of aero gas turbine engines

    Guha, A. | Online Contents | 2001


    Fuels for gas-turbine aero-engines

    Sharp, J.G. | Engineering Index Backfile | 1951


    Neural networks for the maintenance of aero engines

    Torella, G / Lombardo, G | AIAA | 1995