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A Knowledge-Based Controller for a PWR-Type Nuclear Power Plant

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Expert Systems and Robotics

Part of the book series: NATO ASI Series ((NATO ASI F,volume 71))

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Abstract

In this study a rule-based, fuzzy-logic regulator was developed for a PWR type nuclear power plant based on knowledge acquisition through numerical simulations and making use of a validated mathematical model of the H.B. Robinson power plant. The performance of this controller with the single objective of minimizing weighted power was found to be better in this respect when tested against that of an optimal controller using several conflicting performance criteria. The behavior of this rule-based controller was investigated also under noisy operating conditions and in the presence of drift in process variables leading to negligible degradation.

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References

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, Bogazici University, 80815, Bebek, Istanbul, Turkey

    H. Levent Akin

Authors
  1. H. Levent Akin
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Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, California State University, 1250 Bellflower Boulevard, 90840-5005, Long Beach, CA, USA

    Timothy Jordanides

  2. Department of Mechanical Engineering, California State University, 1250 Bellflower Boulevard, 90840-5005, Long Beach, CA, USA

    Bruce Torby

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© 1991 Springer-Verlag Berlin Heidelberg

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Akin, H.L. (1991). A Knowledge-Based Controller for a PWR-Type Nuclear Power Plant. In: Jordanides, T., Torby, B. (eds) Expert Systems and Robotics. NATO ASI Series, vol 71. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-76465-3_20

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  • DOI: https://doi.org/10.1007/978-3-642-76465-3_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-76467-7

  • Online ISBN: 978-3-642-76465-3

  • eBook Packages: Springer Book Archive

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