• DocumentCode
    3364071
  • Title

    Elementary study on real-time communication model of industrial Ethernet based on artificial neural network

  • Author

    Xiangyin, Meng ; Shide, Xiao ; Wenxi, Wang ; Huiping, Huang

  • Author_Institution
    Inst. of Intell. Electro-mechanic Technol., Southwest Jiaotong Univ., Chengdu
  • fYear
    2009
  • fDate
    26-29 March 2009
  • Firstpage
    136
  • Lastpage
    140
  • Abstract
    The technology of industrial field-bus is developing very fast, and industrial Ethernet combined with fieldbus has being applied into industrial control system. However, there still are some obstacles in real-time and certainty performance when traditional Ethernet applied into field plant network. EPA (Ethernet for plant application, proposed by China) utilized real-time communication model for application level and other technologies and then make the industrial Ethernet be able to be applied into control system of field plants. Nevertheless, it is also necessary to improve the real-time performance of EPA. A new intelligent real-time communication model based on artificial neural network is proposed to perfect the current communication methods of EPA. The simulation shows that the new communication model can work well and the real-time performance is better than EPA.
  • Keywords
    field buses; industrial control; local area networks; neurocontrollers; artificial neural network; industrial Ethernet; industrial control system; industrial field-bus; intelligent real-time communication model; Artificial intelligence; Artificial neural networks; Communication industry; Communication system control; Control system synthesis; Electrical equipment industry; Ethernet networks; Field buses; Industrial control; Real time systems; ANN; Ethernet; field-bus; real-time communication model; simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networking, Sensing and Control, 2009. ICNSC '09. International Conference on
  • Conference_Location
    Okayama
  • Print_ISBN
    978-1-4244-3491-6
  • Electronic_ISBN
    978-1-4244-3492-3
  • Type

    conf

  • DOI
    10.1109/ICNSC.2009.4919260
  • Filename
    4919260