Adaptive Analytical Model-Based Control for SI Engine Air–Fuel Ratio

Author

Muske, Kenneth R. ; Jones, James C Peyton ; Franceschi, E.M.

Author_Institution

Center for Nonlinear Dynamics & Control, Villanova Univ., Villanova, PA

Volume

16

Issue

4

fYear

2008

fDate

7/1/2008 12:00:00 AM

Firstpage

763

Lastpage

768

Abstract

An adaptive, state-space, model-predictive controller for spark ignition (SI) engine air-fuel ratio control is developed and presented in this brief. The linear model-based controller is an analytical controller that does not require online optimization. The model parameters for the predictive controller and the time-varying delay compensation are adapted based on the current measured engine speed and load. These process model parameters and time delays are identified from engine operating data. A Kalman filter is used to estimate the model and disturbance states of the system. The controller is demonstrated on a Ford 2-L I4 engine.

Keywords

Kalman filters; adaptive control; control system synthesis; delays; ignition; internal combustion engines; linear systems; predictive control; state-space methods; time-varying systems; Ford 2-L 14 engine; Kalman filter; adaptive controller; linear model-based controller; model-predictive controller; spark ignition engine air-fuel ratio control; state-space controller; time delays; time-varying delay compensation; Adaptive control; delay system; engines; model-based control; time-varying systems;

fLanguage

English

Journal_Title

Control Systems Technology, IEEE Transactions on

Publisher

ieee

ISSN

1063-6536

Type

jour

DOI

10.1109/TCST.2007.912243

Filename

4476149