Air-to-fuel ratio control of spark ignition engines using Gaussian network sliding control

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This paper treats air-to-fuel ratio control of a spark ignition engine. A direct adaptive control method using Gaussian neural networks is developed to compensate transient fueling dynamics and the measurement bias of mass air flow rate into the manifold. The transient fueling compensation method is coupled with a dynamic sliding mode control technique that governs fueling rate when the throttle change is not rapid. The proposed controller is simple enough for on-line computation and is successfully implemented on an automotive engine having a multiport fuel injection system.
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date
1998-09
Language
English
Article Type
Article
Citation

IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, v.6, no.5, pp.678 - 687

ISSN
1063-6536
URI
http://hdl.handle.net/10203/187064
Appears in Collection
ME-Journal Papers(저널논문)
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