Advertisement

Fuzzy Knowledge Adaptation Mechanism for PID Controllers Implemented in PLC S7-300/400

  • Jiri KocianEmail author
  • Stepan Ozana
  • Jiri Koziorek
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 133)

Abstract

The paper deals with fuzzy approach applied for adaptation of parameters of classic PID controllers. It introduces implementation on programmable logic controllers S7 300/400. It also shows the concept of supervisor – an expert system that handles the above mentioned adaptation. Control performance monitoring, setting the model of the regulated system, its verification, the process of identification and subsequent adaptation of PID controller parameters are discussed in conclusion.

Keywords

Knowledge Adaptation Controller Fuzzy System PLC Performance Monitoring 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Babuska, R., Damen, M.R., Hellinga, C., Maarleveld, H.: Intelligent adaptive control of bioreactors. Journal of Intelligent Manufacturing 14(2), 255–265; doi: 10.1023/A:10229637/16905Google Scholar
  2. 2.
    Pokorný, M.: Artificial Intelligence in Modelling and Control, 188 pages. BEN Publishing – technical literature, Prague (1996); ISBN: 80-901984-4-9Google Scholar
  3. 3.
    Chand, S.: On-line, self-monitoring tuner for proportional integral derivative controllers. In: Proceedings of the 30th IEEE Conference, Brighton, UK (1991); doi: 10.1109/CDC.1991.261746, ISBN: 0-7803-0450-0Google Scholar
  4. 4.
    Kocian, J., Koziorek, J.: An Outline of Advanced Process Control and Self Tuning Techniques on PLC Background. In: ETFA 2010: Proceedings of IEEE International Conference on Emerging Technologies and Factory Automation, Bilbao, Spain, September 13 - 16 (2010); ISBN: 978-1-4244-6849-2Google Scholar

Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Department of Measurement and ControlVSB-Technical University of OstravaOstravaCzech Republic

Personalised recommendations