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
Link To Document :
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