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