DocumentCode :
1292083
Title :
Applications of radial basis network technology to process control
Author :
Sbarbaro, Daniel ; Segovia, Juan P. ; Alcozer, Sandro ; Gonzales, Jose
Author_Institution :
Dept. of Electr. Eng., Concepcion Univ., Chile
Volume :
8
Issue :
1
fYear :
2000
fDate :
1/1/2000 12:00:00 AM
Firstpage :
14
Lastpage :
22
Abstract :
Modern industrial process automation systems are organized as hierarchical systems, with at least three levels: field, direct control, and supervisory level. The paper presents applications of radial basis function (RBF) networks in each one of these levels. The first example illustrates the application of these networks to improve the performance of a control valve. The second example demonstrates the potential of an RBF network to deal with nonlinear processes as direct controller. The third example, illustrates the use of a supervisory system to tune proportional integral controllers, implemented in a distributed environment. These examples do not only present some applications of RBF technologies to process control, but also demonstrate, through practical examples, that this technology can be implemented in existing control systems
Keywords :
hierarchical systems; neurocontrollers; process control; radial basis function networks; two-term control; valves; control valve; direct control; distributed environment; nonlinear processes; proportional integral controllers; radial basis network technology; supervisory system; Automatic control; Automation; Control systems; Electrical equipment industry; Hierarchical systems; Industrial control; Pi control; Process control; Radial basis function networks; Valves;
fLanguage :
English
Journal_Title :
Control Systems Technology, IEEE Transactions on
Publisher :
ieee
ISSN :
1063-6536
Type :
jour
DOI :
10.1109/87.817688
Filename :
817688
Link To Document :
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