2003Unpublished venueRequires access

Genetic fuzzy controllers: from simulated based learning to a real application.

J. Canada-Bago, J. Aguilera, Juan R. Velasco, Luis Magdalena

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Abstract

This work shows a stand-alone photovoltaic system application based on fuzzy logic controllers and genetic fuzzy systems. A hierarchical fuzzy controller has been designed that at present controls four real stand-alone photovoltaic systems sited in University of Jaén. In order to improve that fuzzy logic controller operation, a genetic fuzzy system has been designed. Its operation is based on a mathematical model obtained from the system to be controlled. This work main objective consist on the verification that the individuals, which have been generated using the genetic fuzzy system, properly control the photovoltaic real installations.

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What this paper is about

This work shows a stand-alone photovoltaic system application based on fuzzy logic controllers and genetic fuzzy systems. A hierarchical fuzzy controller has been designed that at present controls four real stand-alone photovoltaic systems sited in University of Jaén. In order to improve that fuzzy logic controller operation, a genetic fuzzy system has been designed. Its operation is based on a mathematical model obtained from the system to be controlled. This work main objective consist on the verification that the individuals, which have been generated using the genetic fuzzy system, properly control the photovoltaic real installations.

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Available abstract

This work shows a stand-alone photovoltaic system application based on fuzzy logic controllers and genetic fuzzy systems. A hierarchical fuzzy controller has been designed that at present controls four real stand-alone photovoltaic systems sited in University of Jaén. In order to improve that fuzzy logic controller operation, a genetic fuzzy system has been designed. Its operation is based on a mathematical model obtained from the system to be controlled. This work main objective consist on the verification that the individuals, which have been generated using the genetic fuzzy system, properly control the photovoltaic real installations.

Key concepts: Fuzzy logic, Fuzzy control system, Photovoltaic system, Control engineering, Computer science, Fuzzy electronics, Controller (irrigation), Genetic algorithm

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