A control orientated combustion model

Peter M. Fussey, David J.N. Limebeer

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

The control of Internal Combustion (IC) engines is dominated by conventional controllers that regulate the engine operating condition to set-points, which are usually derived from steady-state testing. A significant issue is that IC engines can spend much of their time operating under transient conditions, which take the engine away from their optimized steady-state operating conditions. Currently, a variety of ad-hoc methodologies are used to compensate for transient operation, by modifying set-points, gains and feed-forward values for example. It is proposed that Model Predictive Control be used for the online optimization of the combustion processes as a more structured way of controlling transient engine operation. This type of optimization requires a combustion model that captures the response of the combustion system to changes in the control inputs. This paper describes a model that is detailed enough to predict emissions trends, yet is suitable for implementation in a future real-time automotive control unit.

Original languageEnglish
Title of host publication2012 IFAC Workshop on Engine and Powertrain Control, Simulation and Modeling, E-COSM 2012
PublisherIFAC Secretariat
Pages490-497
Number of pages8
Edition30
ISBN (Print)9783902823168
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event2012 IFAC Workshop on Engine and Powertrain Control, Simulation and Modeling, E-COSM 2012 - Rueil-Malmaison, France
Duration: 23 Oct 201225 Oct 2012

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
Number30
Volume45
ISSN (Print)1474-6670

Conference

Conference2012 IFAC Workshop on Engine and Powertrain Control, Simulation and Modeling, E-COSM 2012
Country/TerritoryFrance
CityRueil-Malmaison
Period23/10/1225/10/12

Keywords

  • Emissions regulation
  • Internal combustion engine
  • Modelling
  • Predictive control

ASJC Scopus subject areas

  • Control and Systems Engineering

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