The implementation and comparison of different type self-tuning algorithms of fuzzy PID controllers on PLC

Onur Karasakal*, Engin Yeşil, Müjde Güzelkaya, Ibrahim Eksin

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Citations (Scopus)

Abstract

In this study, peak observer, function tuner and relative rate observer based self-tuning methods that adjust the input scaling factor corresponding to the derivative coefficient and the output scaling factor corresponding to the integral coefficient of the PID type fuzzy logic controller arc implemented on PLC. The results of the three different self-tuning fuzzy PID-type controllers are compared with each other.

Original languageEnglish
Title of host publicationSoft Computing with Industrial Applications - International Symposium on Soft Computing for Industry, ISSCI - Proceedings of the Sixth Biannual World Automation Congress, WAC 2004
EditorsM. Jamshidi, M. Reuter, D. Andina, J.S. Jamshidi
Pages489-494
Number of pages6
Publication statusPublished - 2004
EventSoft Computing with Industrial Applications - International Symposium on Soft Computing for Industry, ISSCI - Sixth Biannual World Automation Congress, WAC 2004 - Sevilla, Spain
Duration: 28 Jun 20041 Jul 2004

Publication series

NameSoft Computing with Industrial Applications - Proceedings of the Sixth Biannual World Automation Congress

Conference

ConferenceSoft Computing with Industrial Applications - International Symposium on Soft Computing for Industry, ISSCI - Sixth Biannual World Automation Congress, WAC 2004
Country/TerritorySpain
CitySevilla
Period28/06/041/07/04

Keywords

  • Function tuner
  • PID-type fuzzy controller
  • Peak observer
  • Relative rate observer
  • Self-tuning mechanisms

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