Existing electronic combustion engine control systems only guarantee a desired air-to-fuel-ratio λ in stationary operation. In order to achieve the desired λ also in in-stationary use of the engine, it is necessary to use new-technology-based control systems.Artificial Intelligence provides methods to cope with difficulties like wide operation range, unknown nonlinearities and time delay.We will propose a strategy for control of a Spark Ignition Engine to determine the mass of air inside the combustion chambers with the highest accuracy. Since Neural Networks are universal approximators for multidimensional nonlinear static functions they can be used effectively for identification and compensation purposes of unknown nonlinearities in closed control loops.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Artificial Intelligence for Combustion Engine Control


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:
    Schroeder, Dierk (Autor:in) / Lenz, Ulrich (Autor:in)

    Kongress:

    International Congress & Exposition ; 1996



    Erscheinungsdatum :

    01.02.1996




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




    Artificial intelligence for combustion engine control

    Lenz,U. / Schroeder,D. / Tech.Univ.Muenchen,DE | Kraftfahrwesen | 1996


    Artificial Intelligence Application in Combustion Modeling

    Dillard, Luke N. / Nandigana, Vishal / Gore, Jay P. | AIAA | 2021



    ENGINE CONTROL SYSTEM AND METHOD WITH ARTIFICIAL INTELLIGENCE SENSOR TRAINING

    GHARAGOZLOO ALIREZA / TABAR ROJA | Europäisches Patentamt | 2024

    Freier Zugriff

    ENGINE CONTROL SYSTEM AND METHOD WITH ARTIFICIAL INTELLIGENCE SENSOR TRAINING

    GHARAGOZLOO ALIREZA / TABAR ROJA | Europäisches Patentamt | 2024

    Freier Zugriff