A Set of Fuzzy Systems to Automate the Manual Procedures for Reactor Power Level Changes

  • Byung Soo Moon
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 38)


In this chapter, we describe a set of fuzzy systems which automate the manual part of procedures being used in the reactor operations for PWR-type nuclear power plants. One of the fuzzy systems evaluates the total power defect as a function of the boron concentration and the reactor power level. Others are used to compute the amount of step changes for the control rod as a function of the current rod position and the increment of the total power defect needed for the power level change. Each fuzzy system is either an exact or an approximate representation of the cubic spline interpolation for the corresponding function provided as graphs. The resulting set of fuzzy systems not only improves the efficiency in performing the curve readings but also reduces the interpolation errors involved.


Fuzzy System Fuzzy Rule Reactor Power Spline Interpolation Boron Concentration 
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  1. 1.
    Z. Liu and D. Ruan, Experiments of Fuzzy Logic Control on a Nuclear Research Reactor, Intelligent Systems and Soft Computing for Nuclear Science and Industry; Proc. 2nd Int. FLINS Workshop, (1996) 336–348.Google Scholar
  2. 2.
    Y. J. Hah and B. W. Lee, Fuzzy Power Control Algorithm for a Pressurized Water Reactor, Nuclear Technoloy, 106 (2) (1994) 242–253.Google Scholar
  3. 3.
    P. Ramaswamy, R. M. Edwards, K. Y. Lee, A Fuzzy Logic Controller Design for Nuclear Power Plant, Proc. 12th triennial World Congress of the Int. Federation of Automatic Control, Vol.4 Applications II (1994) 703–706.Google Scholar
  4. 4.
    C. Lin and H. W. Lin, Application of Fuzzy Logic Controller to Load-Follow Operations in Pressurized Water Reactors, J. Nuclear Science and Technoloy, 31 (5) (1994) 407–419.CrossRefGoogle Scholar
  5. 5.
    P. Wang, et al., Constructive Theory for Fuzzy Systems, Fuzzy Sets and Systems, 88 (1997) 195–203.MathSciNetCrossRefMATHGoogle Scholar
  6. 6.
    B. S. Moon, A Practical Algorithm for Representing Polynomials of Two Variables by Fuzzy Systems with Accuracy O(h 4), Fuzzy Sets and Systems,To Appear.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Byung Soo Moon
    • 1
  1. 1.Korea Atomic Energy Research InstituteTaeduk Science Town, TaejonKorea

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