Comparison of defuzzification methods: Automatic control of temperature and flow in heat exchanger

Carlos A. Cosenza, Alvaro J.Rey Amaya, Omar Lengerke, Max Suell Dutra, Magda J.M. Tavera

Producción científica: Libro / Capitulo del libro / InformeLibros de Investigaciónrevisión exhaustiva

Resumen

The objective of this work is to analyze the behavior of the traditional control and the fuzzy control, applying them in the flow and temperature control to the load of current of a heat exchanger, as well as the analysis of different methods of denazification, utilized just as itself this carrying out the fuzzy control. Acting on the structure of the fuzzy controller some changes of form are carried out such that this tune in to be able to obtain the answer but optimum. In the same way proceeds on the traditional controller, and in this way comparisons on these two types of controls are established. Inside the changes that are carried out on the fuzzy controller this form of denazification the information, that is to say the methods are exchanged denazification in order then to realize comparisons on the behavior of each one of these.

Idioma originalInglés
Título de la publicación alojadaArtificial Neural Networks and Intelligent Information Processing - Proc. 4th Int. Workshop on Artificial Neural Networks and Intelligent Information Processing, ANNIIP 2008; ICINCO 2008
EditorialInst. for Syst. and Technol. of Inf., Control and Commun. (INSTICC)
Páginas107-116
Número de páginas10
ISBN (versión impresa)9789898111333
DOI
EstadoPublicada - 2008
Publicado de forma externa
Evento4th International Workshop on Artificial Neural Networks and Intelligent Information Processing, ANNIIP 2008; In Conjunction with ICINCO 2008 - Madeira, Portugal
Duración: 11 may. 200815 may. 2008

Serie de la publicación

NombreArtificial Neural Networks and Intelligent Information Processing - Proc. 4th Int. Workshop on Artificial Neural Networks and Intelligent Information Processing, ANNIIP 2008; ICINCO 2008

Conferencia

Conferencia4th International Workshop on Artificial Neural Networks and Intelligent Information Processing, ANNIIP 2008; In Conjunction with ICINCO 2008
País/TerritorioPortugal
CiudadMadeira
Período11/05/0815/05/08

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