Study on Model Based Combustion Control of Diesel Engine with Multi Fuel Injection

R. Ikemura, Y. Yamasaki, Shigehiko Kaneko

Research output: Contribution to journalConference article

5 Citations (Scopus)

Abstract

A controller for model-based control of diesel engine with triple injection were developed with a combustion model. In the combustion model, an engine cycle is discretized into several representative points in order to improve calculation speed, while physical equations are employed to expand the versatility. The combustion model can predict in-cylinder pressure and temperature in these discrete points. Prediction accuracy of the combustion model was evaluated by comparison with experimental result. A controller was designed with the combustion model in order to calculate optimal fuel injection pattern for controlling in-cylinder pressure peak timing. The controller's performance was evaluated through simulation in which the combustion model was used as a plant model.

Original languageEnglish
Article number012103
JournalJournal of Physics: Conference Series
Volume744
Issue number1
DOIs
Publication statusPublished - 2016 Oct 3
Externally publishedYes
Event13th International Conference on Motion and Vibration Control, MOVIC 2016 and the 12th International Conference on Recent Advances in Structural Dynamics, RASD 2016 - Southampton, United Kingdom
Duration: 2016 Jul 42016 Jul 6

Fingerprint

combustion control
fuel injection
diesel engines
controllers
versatility
engines
time measurement
injection
cycles

ASJC Scopus subject areas

  • Physics and Astronomy(all)

Cite this

Study on Model Based Combustion Control of Diesel Engine with Multi Fuel Injection. / Ikemura, R.; Yamasaki, Y.; Kaneko, Shigehiko.

In: Journal of Physics: Conference Series, Vol. 744, No. 1, 012103, 03.10.2016.

Research output: Contribution to journalConference article

Ikemura, R. ; Yamasaki, Y. ; Kaneko, Shigehiko. / Study on Model Based Combustion Control of Diesel Engine with Multi Fuel Injection. In: Journal of Physics: Conference Series. 2016 ; Vol. 744, No. 1.
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