Three types of control system for an electric governor of a diesel engine developed for generators were examined experimentally. The quantity of fuel injection of a diesel engine for generators is usually controlled by an electric governor system in these decades, and a PID controller has been installed for the electric governor. Even when the optimal parameters for PID controller are well tuned, it is difficult to keep constant rotating speed of the engine, because the applied load to generators may vary according to its running conditions. In this research, a neural network was applied to regulate the parameters in PI controller for the axial-moving DC motor to control the quantity of fuel injection. Experimental studies showed that the parameter regulation system using neural network presented here had good performance under various running conditions. Further, the neural network control system without PID controller also showed good performance in controlling diesel engines for generators.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Revolution Control of Generator Diesel Engine by Neural Network Controller


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:

    Kongress:

    SAE 2003 World Congress & Exhibition ; 2003



    Erscheinungsdatum :

    03.03.2003




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




    Revolution control of generator diesel engine by neural network controller

    Tsuchiya,T. / Morishita,S. / Enomoto,T. et al. | Kraftfahrwesen | 2003


    2003-01-0365 Revolution Control of Generator Diesel Engine by Neural Network Controller

    Tsuchiya, T. / Morishita, S. / Enomoto, T. et al. | British Library Conference Proceedings | 2003


    Noise control for diesel engine generator sets

    Schultz, N. / Summerson, W.A. | Tema Archiv | 1980


    Small diesel engine-generator set

    WESTERBEKE JR JOHN H | Europäisches Patentamt | 2022

    Freier Zugriff

    Revolution control for diesel engines by neural networks

    Mitsuhashi,K. / Tsuchiya,T. / Morishita,S. et al. | Kraftfahrwesen | 2004