Title :
Fuel Injection Control and Simulation of EFI Engine Based on ANFIS
Author_Institution :
Changsha Univ. of Sci. & Technol., Changsha
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;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on
Conference_Location :
Hunan
Print_ISBN :
978-0-7695-3357-5
DOI :
10.1109/ICICTA.2008.465