Identification of air-fuel ratio dynamics in SI engines using linear parameter varying techniques

Rohit Zope, Javad Mohammadpour, Karolos Grigoriadis, Matthew Franchek, Reza Tafreshi, Houshang Masoudi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

Accurate identification of the air-fuel ratio system dynamics in a spark-ignition (SI) engine is important to develop control methodologies leading to minimized emissions, as well as enhanced performance and efficiency. The fuel path of an SI engine exhibits time-varying dynamics. Presented in this paper is a new method for identifying the air-fuel ratio dynamics by casting the time-varying dynamics as a linear parameter-varying (LPV) system. The identification method assumes a known, physically motivated dependence of the model coefficients on the externally measurable engine parameters. The LPV system identification problem is reduced to a problem of linear regression and solved iteratively. Experiments performed on a 5.4L V8 Ford engine validate the accuracy of the proposed method.

Original languageEnglish (US)
Title of host publicationProceedings of the 13th IASTED International Conference on Control and Applications, CA 2011
Pages120-125
Number of pages6
DOIs
StatePublished - 2011
Event13th IASTED International Conference on Control and Applications, CA 2011 - Vancouver, BC, Canada
Duration: Jun 1 2011Jun 3 2011

Publication series

NameProceedings of the 13th IASTED International Conference on Control and Applications, CA 2011

Other

Other13th IASTED International Conference on Control and Applications, CA 2011
Country/TerritoryCanada
CityVancouver, BC
Period6/1/116/3/11

Keywords

  • Air-fuel ratio dynamics
  • Linear parameter varying systems
  • SI engines
  • System identification

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Systems Engineering

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