Optimal signgle-input pid type fuzzy logic controller design with genetic algorithm

Bing-Fei Wu*, L. I.Shan Ma, Jau Woei Perng, Tsu Tian Lee

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

In this paper, the PID type single-input fuzzy logic controller (SFLC) is proposed by modified from PD type SFLC. By proposed structure, the steady error from PD type SFLC can be improved. Furthermore, the optimal control performance can be achieved by tuning membership function and gain parameter with genetic algorithm (GA). The simulation results show the proposed structure has better performance by comparing with GA PID and Ziegler-Nichols PID approaches.

Original languageEnglish
Title of host publicationProceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007
Pages2000-2004
Number of pages5
DOIs
StatePublished - 1 Dec 2007
Event6th International Conference on Machine Learning and Cybernetics, ICMLC 2007 - Hong Kong, China
Duration: 19 Aug 200722 Aug 2007

Publication series

NameProceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007
Volume4

Conference

Conference6th International Conference on Machine Learning and Cybernetics, ICMLC 2007
CountryChina
CityHong Kong
Period19/08/0722/08/07

Keywords

  • Fuzzy logic controller
  • Genetic algorithm (GA)
  • Optimal control
  • PID type controller
  • Single input fuzzy logic controller (SFLC)

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    Wu, B-F., Ma, L. I. S., Perng, J. W., & Lee, T. T. (2007). Optimal signgle-input pid type fuzzy logic controller design with genetic algorithm. In Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007 (pp. 2000-2004). [4370475] (Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007; Vol. 4). https://doi.org/10.1109/ICMLC.2007.4370475