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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Artificial Intelligence for Combustion Engine Control


    Additional title:

    Sae Technical Papers


    Contributors:

    Conference:

    International Congress & Exposition ; 1996



    Publication date :

    1996-02-01




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Artificial intelligence for combustion engine control

    Lenz,U. / Schroeder,D. / Tech.Univ.Muenchen,DE | Automotive engineering | 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 | European Patent Office | 2024

    Free access

    ENGINE CONTROL SYSTEM AND METHOD WITH ARTIFICIAL INTELLIGENCE SENSOR TRAINING

    GHARAGOZLOO ALIREZA / TABAR ROJA | European Patent Office | 2024

    Free access