Adaptive Analytical Model-Based Control for SI Engine AiraFuel Ratio

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 contr...

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Bibliographic Details
Published in:IEEE transactions on control systems technology 2008-01, Vol.16 (4)
Main Authors: Muske, K R, Jones, JCP, Franceschi, E M
Format: Article
Language:English
Subjects:
Adaptive control systems
Automotive engineering
Compensation
Delay
Engines
Estimates
Mathematical analysis
Mathematical models
Online Access:Get full text
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Summary: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.
ISSN:1063-6536
DOI:10.1109/TCST.2007.912243