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

    Fingerprint

    Dive into the research topics of 'Identification of air-fuel ratio dynamics in SI engines using linear parameter varying techniques'. Together they form a unique fingerprint.

    Cite this