Neural network modelling of a new injection system for compressed natural gas engines

Neural network modelling of a new injection system for compressed natural gas engines

The paper describes a neural network approach for modelling a CNG engine. A neural network model, whose structure is mainly based on general information about the system, is built for controlling the rail pressure. The structural identification and the parameter estimation from data gathered on a re...

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Bibliographische Detailangaben
Hauptverfasser: Binetti, G., Lino, P., Maione, B.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Engines
Fuels
Integrated circuit modeling
Mathematical model
Rails
Solenoids
Valves
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Beschreibung
Zusammenfassung:The paper describes a neural network approach for modelling a CNG engine. A neural network model, whose structure is mainly based on general information about the system, is built for controlling the rail pressure. The structural identification and the parameter estimation from data gathered on a real engine are described. Simulations show the effectiveness of the proposed modelling.
ISSN:1553-572X
DOI:10.1109/IECON.2011.6119383