DocumentCode
2871723
Title
Neural network modelling of a new injection system for compressed natural gas engines
Author
Binetti, Giulio ; Lino, Paolo ; Maione, Bruno
Author_Institution
Dipt. di Elettrotec. ed Elettron., Politec. di Bari, Bari, Italy
fYear
2011
fDate
7-10 Nov. 2011
Firstpage
628
Lastpage
633
Abstract
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.
Keywords
engines; mechanical engineering computing; neural nets; parameter estimation; CNG engine; compressed natural gas engines; injection system; neural network modelling; parameter estimation; rail pressure; structural identification; Engines; Fuels; Integrated circuit modeling; Mathematical model; Rails; Solenoids; Valves;
fLanguage
English
Publisher
ieee
Conference_Titel
IECON 2011 - 37th Annual Conference on IEEE Industrial Electronics Society
Conference_Location
Melbourne, VIC
ISSN
1553-572X
Print_ISBN
978-1-61284-969-0
Type
conf
DOI
10.1109/IECON.2011.6119383
Filename
6119383
Link To Document