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Stochastic adaptive air–fuel ratio control of spark ignition engines
Author(s) -
Yang Jun,
Shen Tielong,
Jiao Xiaohong
Publication year - 2014
Publication title -
ieej transactions on electrical and electronic engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 30
eISSN - 1931-4981
pISSN - 1931-4973
DOI - 10.1002/tee.21991
Subject(s) - air–fuel ratio , gasoline , ignition system , spark (programming language) , control theory (sociology) , automotive engineering , controller (irrigation) , adaptive control , residual , engineering , spark ignition engine , petrol engine , perturbation (astronomy) , computer science , control (management) , internal combustion engine , aerospace engineering , algorithm , physics , agronomy , quantum mechanics , artificial intelligence , biology , programming language , waste management
This paper investigates the stochastic adaptive control problem of the air–fuel ratio in gasoline engines. A discrete‐time dynamic model is introduced to represent the cyclic transient characteristics of the air mass and the fuel mass with consideration of residual gas variation. Then, using the model, a feedback adaptive control law is derived to guarantee the convergence of the regulation error of the air–fuel ratio in the sense of mean square stability, where the unknown perturbation in the cyclic fresh air charge is targeted by the adaptation parameter of the controller. To show its effectiveness, experiments are conducted on a V6 gasoline engine. © 2014 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.