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TECHNICAL PAPERS

Model Predictive Control of a Fuel Injection System with a Radial Basis Function Network Observer

[+] Author and Article Information
Chris Manzie, Marimuthu Palaniswami

Department of Electrical and Electronic Engineering, University of Melbourne, Parkville, Victoria, Australia, 3052

Daniel Ralph, Xiao Yi

Department of Mathematics and Statistics, University of Melbourne, Parkville, Victoria, Australia, 3052

Harry Watson

Department of Manufacturing and Mechanical Engineering, University of Melbourne, Parkville, Victoria, Australia, 3052

J. Dyn. Sys., Meas., Control 124(4), 648-658 (Dec 16, 2002) (11 pages) doi:10.1115/1.1515328 History: Received June 01, 2001; Revised March 01, 2002; Online December 16, 2002
Copyright © 2002 by ASME
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References

Figures

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Schematic of the Radial Function Network. The gi(x) are the radial basis functions.
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Block diagram of control scheme
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Control signals generated by MPCSAT and ASDDP algorithms
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Throttle scenario presented
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Intake manifold pressure variation
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Air-fuel ratio for MPCSAT algorithm and RBF air system observer, with no transport delay
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Air-fuel ratio for MPCSAT algorithm, with variable delays and RBF observer
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Air-fuel ratio for constant throttle when air system is changed by 5% at t=5 sec
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Throttle change presented to MPCSAT controlled engine with RBF observer
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Air-fuel ratio using MPCSAT algorithm and RBF observer
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Throttle change presented to MoTec controlled engine
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Air fuel ratio using MoTec controller
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Speed change applied to engine controlled by MPCSAT algorithm and RBF observer
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Air-fuel ratio using MPCSAT algorithm with RBF observer
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Speed change applied to MoTec controlled engine
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Air fuel ratio using MoTec controller

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