Hybrid Genetic-Fuzzy Optimization of a Type-2 Fuzzy Logic Controller

Author

Cazarez-Castro, Nohe R. ; Aguilar, Luis T. ; Castillo, Oscar

Author_Institution

Univ. Autonoma de Baja California, Tijuana

fYear

2008

fDate

10-12 Sept. 2008

Firstpage

216

Lastpage

221

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.

Keywords

closed loop systems; fuzzy control; genetic algorithms; closed-loop system; hybrid genetic-fuzzy optimization; membership functions; servomechanism; type-2 fuzzy logic controller; type-2 fuzzy logic system; Control systems; Design optimization; Fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems; Genetics; Optimization methods; Servomechanisms; Uncertainty; Backlash; Genetic Algorithm; Optimization; Type-2 Fuzzy Control;

fLanguage

English

Publisher

ieee

Conference_Titel

Hybrid Intelligent Systems, 2008. HIS '08. Eighth International Conference on

Conference_Location

Barcelona

Print_ISBN

978-0-7695-3326-1

Electronic_ISBN

978-0-7695-3326-1

Type

conf

DOI

10.1109/HIS.2008.170

Filename

4626632