Bio-inspired optimization methods of fuzzy logic controllers applied to linear plants

Ricardo Martinez; Oscar Castillo; Luis T. Aguilar; Antonio Rodriguez

doi:10.1007/978-3-642-11282-9_26

Bio-inspired optimization methods of fuzzy logic controllers applied to linear plants

Ricardo Martinez, Oscar Castillo, Luis T. Aguilar, Antonio Rodriguez

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

1 Scopus citations

Abstract

We use an optimization method to find the parameters of the membership functions of a fuzzy logic controller (FLC) in order to minimize the steady state error for linear systems. The genetic algorithm (GA) and particle swarm optimization (PSO), which are optimization methods, were used to find the optimal FLC. The obtained FLC achieves regulation of the output and stability of the closed-loop system. Simulation results, with the optimal FLC and implemented in Simulink, show the feasibility of the proposed approach.

Original language	English
Title of host publication	Advances in Intelligent and Soft Computing
Pages	245-252
Number of pages	8
DOIs	https://doi.org/10.1007/978-3-642-11282-9_26
State	Published - 2010
Externally published	Yes

Publication series

Name	Advances in Intelligent and Soft Computing
Volume	75
ISSN (Print)	1867-5662
ISSN (Electronic)	1860-0794

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10.1007/978-3-642-11282-9_26

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Bio-inspired optimization methods of fuzzy logic controllers applied to linear plants

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