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Use of ANN in a Research Reactor Power Fuzzy Controller

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Computational Intelligence and Bioinspired Systems (IWANN 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3512))

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Abstract

Six artificial neural networks (ANN) were developed to compute the membership values of the consequents of a fuzzy rule evaluation table, which is part of a Mamdani type fuzzy controller. This controller is aimed to regulate the neutron power of a research nuclear reactor. The neural networks obtained were validated over a wide range of input data. These ANN offer the possibility of a parallel processing of the fuzzy inputs, thus reducing the response time of the controller.

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References

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Authors and Affiliations

  1. Toluca Institute of Technology (ITT), The Mexican National Institute for Nuclear Research (ININ), Km. 36.5 Carretera México-Toluca, Ocoyoacac, Edo. de México, 52749, Mexico

    Jorge S. Benítez-Read, Jorge A. Ruiz-Enciso, Régulo López-Callejas & Joel O. Pacheco-Sotelo

  2. Belgian Nuclear Research Centre (SCK.CEN), Boeretang 200, 2400, Mol, Belgium

    Da Ruan

Authors
  1. Jorge S. Benítez-Read
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  2. Da Ruan
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  3. Jorge A. Ruiz-Enciso
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  4. Régulo López-Callejas
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  5. Joel O. Pacheco-Sotelo
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Editor information

Editors and Affiliations

  1. Departamento de Ingeniería Electrónica, Universitat Politècnica de Catalunya (UPC). E.T.S.I. de Telecomunicación, Campus Norte, Edificio C4, C/ Jordi Girona, 1-3, E08034, Barcelona, Spain

    Joan Cabestany

  2. Department of Computer Architecture and Computer Technology, University of Granada,  

    Alberto Prieto

  3. Grupo ISIS, Dpto. Tecnología Electrónica ETSI Telecomunicación, Universidad de Málaga, Campus de Teatinos, 29071, Málaga, Spain

    Francisco Sandoval

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© 2005 Springer-Verlag Berlin Heidelberg

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Benítez-Read, J.S., Ruan, D., Ruiz-Enciso, J.A., López-Callejas, R., Pacheco-Sotelo, J.O. (2005). Use of ANN in a Research Reactor Power Fuzzy Controller. In: Cabestany, J., Prieto, A., Sandoval, F. (eds) Computational Intelligence and Bioinspired Systems. IWANN 2005. Lecture Notes in Computer Science, vol 3512. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11494669_139

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  • DOI: https://doi.org/10.1007/11494669_139

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26208-4

  • Online ISBN: 978-3-540-32106-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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