Title :
Decision method of cooperative measurement for IP mode measuring & controlling system based on synergetics
Author :
Hong, Xiaobin ; Liu, Guixiong ; Chen, Tiequn
Author_Institution :
Dept. of Mech. Eng., South China Univ. of Technol., Guangzhou
Abstract :
Measuring & controlling system based on industrial Ethernet (called IMMCS: IP Mode Measurement and Control System)has been a research focus at present. According to uncertainty of decision elements of multi-sensor cooperative measurement in IMMCS, a new decision method for IP mode multi-sensor cooperative measurement based on synergetics is brought forward. The cooperative measurement mechanism in IMMCS is described based on self-organization of synergetics, a decision model with the dynamic cooperation-competition-harmony course is constructed to form a three-layer feedback decision method. The method first selects the clustering function of sum of error squares. By means of transforming rule of sample set based on proportional clustering, the region vectors are acquired. Then the transformation is accomplished from region vectors to adjoint vectors through M-P generalized inverse calculation. Finally, ensuring several parameters of self-organization decision process, the universal formula on multidimensional uncertainty is derived in several different conditions. The application in IP mode on-line measurement and control of alcohol concentration is also presented in this paper. Through running the measuring & controlling strategies, the operation results are displayed. Thereinto, the iterative steps was 3 and the iterative error of order parameters was 2.4726e-016. The experimental results show the decision method is reliable, reduces greatly computing quantity and calculating time, decreases effectively the uncertainty of cooperative measurement decision in IMMCS. It can be generalized to decision research of complicated system.
Keywords :
IP networks; control engineering computing; feedback; industrial control; local area networks; production engineering computing; sensor fusion; IMMCS; IP controlling system; IP mode measuring; industrial Ethernet; multi-sensor cooperative measurement; synergetics; three-layer feedback decision method; Application software; Artificial intelligence; Automation; Control systems; Ethernet networks; Feedback; Intelligent control; Learning systems; Mechanical engineering; Mechanical variables measurement; Cooperative measurement; Decision method; IP mode measuring & controlling system; Synergetics;
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
DOI :
10.1109/WCICA.2008.4593175