• DocumentCode
    554434
  • Title

    Rail pressure control of common rail diesel engine based on RBF neural network adaptive PID controller

  • Author

    Zhongming Ji ; Xuan Xie ; Zhiqiang Sun ; Peizhi Chen

  • Author_Institution
    Sch. of Autom., Hangzhou Dianzi Univ., Hangzhou, China
  • Volume
    3
  • fYear
    2011
  • fDate
    12-14 Aug. 2011
  • Firstpage
    1122
  • Lastpage
    1125
  • Abstract
    The model of high pressure common rail system is designed and studied. In this paper, we propose a PID controller based on RBF neural network, and the corresponding control program is carried out under Matlab environment. When compared with traditional PID controller, RBF based PID controller shows its superiority having better dynamic response.
  • Keywords
    adaptive control; diesel engines; neurocontrollers; pressure control; radial basis function networks; railways; three-term control; Matlab environment; RBF neural network adaptive PID controller; common rail diesel engine; rail pressure control; Diesel engines; Fuels; Mathematical model; Pressure control; Pulse width modulation; Rails; Valves; RBF based PID controller; common rail; control valve; pressure control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on
  • Conference_Location
    Harbin, Heilongjiang, China
  • Print_ISBN
    978-1-61284-087-1
  • Type

    conf

  • DOI
    10.1109/EMEIT.2011.6023292
  • Filename
    6023292