DocumentCode
506776
Title
Real-time control system based on MATLAB and PCAuto via OPC technology
Author
Huang, Qingbao ; Song, Shaojian
Author_Institution
Coll. of Electr. Eng., Guangxi Univ., Nanning, China
Volume
2
fYear
2009
fDate
20-22 Nov. 2009
Firstpage
671
Lastpage
674
Abstract
MATLAB provides us plenty toolboxes to develop kinds of advantage control algorithms, and PCAuto known as a famous SCADA configuration software is widely used in industry due to its powerful data acquisition function, strong real-time database system and excellent graphic human-machine interface. In this paper, the communication between MATLAB and PCAuto based on OPC (OLE for process control) technology is presented. To test the performance of the communication, a realtime improved single neuron adaptive PID liquid level control system is realized. The control process and results verify that the data exchanging is very efficient and reliable. The research of this paper presents a new approach to apply advantage control theories to real-time control system.
Keywords
SCADA systems; adaptive control; control engineering computing; graphical user interfaces; human computer interaction; level control; neurocontrollers; process control; production engineering computing; real-time systems; three-term control; MATLAB; OLE for process control; OPC technology; PCAuto; SCADA configuration software; data acquisition; data exchange; graphic human-machine interface; real-time control system; real-time database system; single neuron adaptive PID liquid level control system; Communication system control; Computer industry; Control systems; Electrical equipment industry; Industrial control; MATLAB; Process control; Real time systems; Software algorithms; Software tools; MATLAB; OPC; PCAuto; adaptive PID; neuron;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-4754-1
Electronic_ISBN
978-1-4244-4738-1
Type
conf
DOI
10.1109/ICICISYS.2009.5358304
Filename
5358304
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