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

Abstract

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 defuzzification, 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 defuzzification the information, that is to say the methods are exchanged defuzzification in order then to realize comparisons on the behavior of each one of these.

References

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Paper Citation


in Harvard Style

A. Cosenza C., J. Rey Amaya A., Lengerke O., Suell Dutra M. and J. M. Tavera M. (2008). Comparison of Defuzzification Methods: Automatic Control of Temperature and Flow in Heat Exchanger . In Proceedings of the 4th International Workshop on Artificial Neural Networks and Intelligent Information Processing - Volume 1: ANNIIP, (ICINCO 2008) ISBN 978-989-8111-33-3, pages 107-116. DOI: 10.5220/0001490701070116


in Bibtex Style

@conference{anniip08,
author={Carlos A. Cosenza and Alvaro J. Rey Amaya and Omar Lengerke and Max Suell Dutra and Magda J. M. Tavera},
title={Comparison of Defuzzification Methods: Automatic Control of Temperature and Flow in Heat Exchanger},
booktitle={Proceedings of the 4th International Workshop on Artificial Neural Networks and Intelligent Information Processing - Volume 1: ANNIIP, (ICINCO 2008)},
year={2008},
pages={107-116},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001490701070116},
isbn={978-989-8111-33-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Workshop on Artificial Neural Networks and Intelligent Information Processing - Volume 1: ANNIIP, (ICINCO 2008)
TI - Comparison of Defuzzification Methods: Automatic Control of Temperature and Flow in Heat Exchanger
SN - 978-989-8111-33-3
AU - A. Cosenza C.
AU - J. Rey Amaya A.
AU - Lengerke O.
AU - Suell Dutra M.
AU - J. M. Tavera M.
PY - 2008
SP - 107
EP - 116
DO - 10.5220/0001490701070116