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

5 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
CountryCanada
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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