NDLI: Sensitivity Equations Based Experiment Design and Adaptive Compensation of Transient Fuel Dynamics in Port-Fuel Injection Engines

Content Provider	IEEE Xplore Digital Library
Author	Song, G. Kolmanovsky, I.V. Gibson, A.
Copyright Year	2007
Description	Author affiliation: Ford Motor Co., Dearborn (Song, G.; Kolmanovsky, I.V.; Gibson, A.)
Abstract	In this paper we consider and address two topics relevant to calibration of parameters in transient fuel compensation algorithms. The first topic concerns the optimal selection of transient trajectories over which data are collected and identification of parameters in transient fuel model, the inverse of which constitutes a transient fuel compensation algorithm, is performed. We show that this problem can be formulated as an optimal control problem, and that this optimal control problem can berobust solved numerically. Even with the optimal transient trajectories, our results highlight a difficulty in identifying parameters in a transient fuel model if parameters in the model of exhaust gas mixing and in the model of the universal exhaust gas oxygen (UEGO) sensor are uncertain. The second topic addresses this difficulty through the use of adaptation to adjust parameters in a transient fuel compensation algorithm, until the deviation of measured fuel-to-air ratio from the commanded fuel-to-air ratio is sufficiently reduced. Our adaptation approach is shown to be robust to uncertainties in UEGO sensor and exhaust mixing dynamics. The theme common to both developments is the use of differential sensitivity equations.
Starting Page	1388
Ending Page	1393
File Size	910698
Page Count	6
File Format	PDF
ISBN	9781424404421
ISSN	10851992
DOI	10.1109/CCA.2007.4389430
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-10-01
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Equations Fuels Engines Vehicle dynamics Control systems System identification Power system modeling Adaptive control Calibration Optimal control Design of Experiments Automotive applications Transient Fuel Control System Identification Adaptive Control
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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