Rohit Zope, Javad Mohammadpour, Karolos Grigoriadis, Matthew Franchek, Reza Tafreshi, and Houshang Masoudi
System Identification, Linear Parameter Varying Systems, SI Engines, Air-Fuel Ratio Dynamics
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.
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