Genetic fuzzy controllers: from simulated based learning to a real application.
J. Canada-Bago, J. Aguilera, Juan R. Velasco, Luis Magdalena
Abstract
J. Canada-Bago, J. Aguilera, Juan R. Velasco, Luis Magdalena
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.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
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