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Neuro-Fuzzy Control Applications in Pressurized Water Reactors

  • Man Gyun Na
Part of the Studies in Fuzziness and Soft Computing book series (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.

Keywords

Membership Function Fuzzy Controller Fuzzy Inference System Steam Generator Fuzzy Logic Controller 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Man Gyun Na
    • 1
  1. 1.Nuclear Engineering DepartmentChosun UniversityDong-gu KwangjuRepublic of Korea

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