Nowadays, (engine) downsizing using turbocharging appears as a major way for reducing fuel consumption. With this aim in view, the air actuators (throttle, Turbo WasteGate) control is needed for an efficient engine torque control especially to reduce pumping losses and to increase efficiency. This work proposes Nonlinear Model Predictive Control (NMPC) of the air actuators for turbocharged SI engines where the predictions are achieved by a neural model. The results obtained from a test bench of a Smart MCC engine show the real time applicability of the proposed method based on on-line linearization and the good control performances (good tracking, no overshoot) for various engine speeds.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Linearized Neural Predictive Control A Turbocharged SI Engine Application


    Additional title:

    Sae Technical Papers


    Contributors:

    Conference:

    SAE 2005 World Congress & Exhibition ; 2005



    Publication date :

    2005-04-11




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Linearized neural predictive control a turbocharged spark ignition engine application

    Colin,G. / Chamaillard,Y. / Charlet,A. et al. | Automotive engineering | 2005


    2005-01-0046 Linearized Neural Predictive Control A Turbocharged SI Engine Application

    Colin, G. / Chamaillard, Y. / Charlet, A. et al. | British Library Conference Proceedings | 2005


    TURBOCHARGED ENGINE CONTROL DEVICE

    UJIHARA KENKO / SHIIBA HIROAKI / KAN TOSHIYA | European Patent Office | 2018

    Free access

    Goetaverken Turbocharged Engine

    Engineering Index Backfile | 1955


    New Turbocharged Engine

    Online Contents | 1995