DocumentCode
477476
Title
Fuel Injection Control and Simulation of EFI Engine Based on ANFIS
Author
Chen Haijun
Author_Institution
Changsha Univ. of Sci. & Technol., Changsha
Volume
1
fYear
2008
fDate
20-22 Oct. 2008
Firstpage
191
Lastpage
194
Abstract
EFI engine´s ECU through a fixed pre-set supply procedures to control fuel injection time, however, the pre-set data can only be reached through a large number of tests. How to attain to pre-set data efficiently and how to dynamically adjust the fuel injection time according to the traffic circumstance are currently the hot issues in Engine Electronic Control Simulation field. In this paper, aiming at the problem of fuel-oil supply control of EFI engine, a hybrid method which combines the fuzzy theory and neural network - Adaptive Network-based Fuzzy Inference System is presented, taking into consideration the characteristics of the EFI engine´s structure. The structure, composition and working procedure of the ANFIS system used for fuel-oil supply control of EFI engine are studied and discussed. A simulation result is also given in this paper.
Keywords
fuel optimal control; fuel systems; fuzzy set theory; internal combustion engines; neural nets; ANFIS system; EFI engine structure; adaptive network-based fuzzy inference system; electronic fuel injection control; engine electronic control simulation; fuel injection time control; fuel-oil supply control; fuzzy theory; neural network; Communication system traffic control; Control systems; Engines; Fuels; Fuzzy control; Fuzzy neural networks; Fuzzy systems; Neural networks; Testing; Traffic control;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on
Conference_Location
Hunan
Print_ISBN
978-0-7695-3357-5
Type
conf
DOI
10.1109/ICICTA.2008.465
Filename
4659470
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