• 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