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

Author

Won, Mooncheol ; Choi, Seibum B. ; Hedrick, J.K.

Author_Institution

Dept. of Mech. Eng., Changnam Nat. Univ., Taejon, South Korea

Volume

6

Issue

5

fYear

1998

fDate

9/1/1998 12:00:00 AM

Firstpage

678

Lastpage

687

Abstract

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 online computation and is successfully implemented on an automotive engine having a multiport fuel injection system

Keywords

adaptive control; compensation; internal combustion engines; variable structure systems; Gaussian network sliding control; Gaussian neural networks; air-to-fuel ratio control; automotive engine; direct adaptive control; dynamic sliding mode control technique; manifold; mass air flow rate; multiport fuel injection system; online computation; spark ignition engines; throttle change; transient fueling compensation method; transient fueling dynamics compensation; Adaptive control; Control systems; Engines; Fluid flow measurement; Ignition; Manifolds; Neural networks; Sliding mode control; Sparks; Vehicle dynamics;

fLanguage

English

Journal_Title

Control Systems Technology, IEEE Transactions on

Publisher

ieee

ISSN

1063-6536

Type

jour

DOI

10.1109/87.709504

Filename

709504