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Neuro-Fuzzy Control Applications in Pressurized Water Reactors

  • Chapter
Fuzzy Systems and Soft Computing in Nuclear Engineering

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 38))

Abstract

In large-scale systems like nuclear systems, automation frees operators from vigilance over routine and tedious tasks by emulating the human expertise in a faster and reliable fashion. The nuclear power plant operational data indicate that the conventional control system may fail when plant nonlinearities and their parameter changes become significant. Typical examples in pressurized water reactors (PWRs) are the power oscillations due to nonlinear xenon behavior, and large level swings of steam generators due to the swell and shrink effects during startup. Since the conventional automation technologies are not completely suitable, their operations are primarily dependent on plant operators. Since the power distribution and steam generator level controls have been the most challenging control problems in the nuclear field, there have been a number of research activities in these areas. Among many controllers proposed to replace the manual operations, the neuro-fuzzy control method is generally regarded as a suitable control method due to its human-like characteristics.

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Author information

Authors and Affiliations

  1. Nuclear Engineering Department, Chosun University, 375 Seosuk-dong, Dong-gu Kwangju, 501-759, Republic of Korea

    Man Gyun Na

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  1. Man Gyun Na
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Editor information

Editors and Affiliations

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

    Da Ruan

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© 2000 Springer-Verlag Berlin Heidelberg

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Na, M.G. (2000). Neuro-Fuzzy Control Applications in Pressurized Water Reactors. In: Ruan, D. (eds) Fuzzy Systems and Soft Computing in Nuclear Engineering. Studies in Fuzziness and Soft Computing, vol 38. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1866-6_9

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  • DOI: https://doi.org/10.1007/978-3-7908-1866-6_9

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-2466-7

  • Online ISBN: 978-3-7908-1866-6

  • eBook Packages: Springer Book Archive

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