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The study and development of SCADA system using artificial intelligence technique

Author(s)
Rattanakumpon, P.
Prisuwanna, P.
Date Issued
June 1, 2005
Type
Article
Abstract
This paper concerned the study and development of Supervisory Control and Data Acquisition (SCADA) system for the monitoring of PID process control, in view of thefuzziness and the uncertainty of SCADA in fault-diagnosis and parameter-error. The tested model, in this case, was meant to be an educational-type boiler system, temperature and level sensors attached to the boiler. Involved in the development of a digital-data-transfer technique between a PC and PLCs, using Ethernet (TCP/IP Protocol) in communication. The SCADA system provided the procedure for monitoring and improving the uncertainty of the control loop via recalibrating the parameters. The uncertainty of the control loop was normally caused by the changes of system dynamics such as inrush in/out flow of the fluid or the rapid changes of setting temperature. Although many PLCs have tuning procedures for these parameters adjustment, PLCs still need someone to tell them when to tune. The PC acquired PLCs'data line analyzing the logic relations of each signal concurrently. In addition, increase the efficiency and precision of control system for PLCs has not a fuzzy logic module.
Citation
International Energy Journal, 6(1 PART 2), 283-294, 2005
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