Hybrid genetic-fuzzy optimization of a type-2 fuzzy logic controller

Nohe Ramon Cazarez-Castro, Luis T. Aguilar, Oscar Castillo

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

22 Scopus citations

Abstract

In this paper a Genetic - Type-2 Fuzzy approach is proposed to optimize the parameters of the Membership Functions (MFs) of a Type-2 Fuzzy Logic System (FLS) applied to control, we design a chromosome to represent the parameters of the MFs of a preestablished Type-2 FLS, design a fitness function and select genetic operators. A case of study is proposed to evaluate the optimization process, this is to achieve the output regulation problem of a servomechanism with backlash. The problem is the design of a type-2 fuzzy logic controller which will be optimized by a GA to obtain the closed-loop system in which the load of the driver is regulated to a desired position. Simulations results illustrate the effectiveness of the optimized closed-loop system.

Original languageEnglish
Title of host publicationProceedings - 8th International Conference on Hybrid Intelligent Systems, HIS 2008
PublisherIEEE Computer Society
Pages216-221
Number of pages6
ISBN (Print)9780769533261
DOIs
StatePublished - 2008
Externally publishedYes
Event8th International Conference on Hybrid Intelligent Systems, HIS 2008 - Barcelona, Spain
Duration: 10 Sep 200812 Sep 2008

Publication series

NameProceedings - 8th International Conference on Hybrid Intelligent Systems, HIS 2008

Conference

Conference8th International Conference on Hybrid Intelligent Systems, HIS 2008
Country/TerritorySpain
CityBarcelona
Period10/09/0812/09/08

Keywords

  • Backlash
  • Genetic algorithm
  • Optimization
  • Type-2 fuzzy control

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