Performance of a simple tuned fuzzy controller and a PID controller on a DC motor

Oscar Montiel, Roberto Sepúlveda, Patricia Melin, Oscar Castillo, Miguel Ángel Porta, Iliana Marien Meza

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

69 Scopus citations

Abstract

We are presenting the usefulness of an innovative method called Simple Tuning Algorithm (STA) for tuning fuzzy controllers, it has only one variable to adjust to achieve the tuning goal, this in counterpart to other methods like the Proportional Integral Derivative (PID) controller wish has three variables to adjust for the same goal. Comparative examples of the STA and the PID methods are presented in a speed control of a real DC gear motor application. The PID controller was tuned using the Ziegler-Nichols. In base of the obtained quantitative and qualitative measures and observations, we are concluding that the fuzzy controller performance outperformed the PID controller; moreover, the tuning process using the STA method was easier than using the Ziegler-Nichols method.

Original languageEnglish
Title of host publicationProceedings of the 2007 IEEE Symposium on Foundations of Computational Intelligence, FOCI 2007
Pages531-537
Number of pages7
DOIs
StatePublished - 2007
Event2007 IEEE Symposium on Foundations of Computational Intelligence, FOCI 2007 - Honolulu, HI, United States
Duration: 1 Apr 20075 Apr 2007

Publication series

NameProceedings of the 2007 IEEE Symposium on Foundations of Computational Intelligence, FOCI 2007

Conference

Conference2007 IEEE Symposium on Foundations of Computational Intelligence, FOCI 2007
Country/TerritoryUnited States
CityHonolulu, HI
Period1/04/075/04/07

Keywords

  • DC motor
  • Fuzzy logic
  • PID
  • Simple tuning algorithm

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