Title :
A Self-Organizing Network Model Based on Industrial Networked Control Systems
Author :
Wu Xiaojun ; Zhao Yixin ; Liu Jing ; Yang Zhi
Author_Institution :
Sch. of Comput. & Inf. Sci., Southwest Univ., Chongqing, China
Abstract :
In order to improve the flexibility and scalability of industrial networked control systems (INCSs), this paper proposes a self-organizing network model, where it allows for INCSs configuring parameters automatically with the mapping relationship among network communication and control loops. Moreover, field devices can satisfy plug-and-play based on this model. Research shows that INCSs, based on self-organization model, can be suitable for the dynamic changes and the average time of self-organization gradually reduce with the increasing nodes.
Keywords :
industrial control; networked control systems; neurocontrollers; self-organising feature maps; INCSs; control loops; industrial networked control systems; network communication; plug-and-play; self-organizing network model; Automation; Mechatronics; Address Mapping; Dynamic Address Allocation; Industrial Networked Control System; Plug-and-Play; Self-organizing Networks;
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2014 Sixth International Conference on
Conference_Location :
Zhangjiajie
Print_ISBN :
978-1-4799-3434-8
DOI :
10.1109/ICMTMA.2014.20