PWR's xenon oscillation control through a fuzzy expert system automatically designed by means of genetic programming

  • Authors:

  • Roberto P. Domingos;Gustavo H. F. Caldas;Cláudio M. N. A. Pereira;Roberto Schirru

  • Affiliations:

  • Universidade Federal do Rio de Janeiro, PEN/COPPE, Ilha do Fundão s/n, 21945-970, P.O. Box 68509, Rio de Janeiro, Brazil;Comissão Nacional de Energia Nuclear, Rua General Severiano, 90-22290-901, Rio de Janeiro, Brazil;Universidade Federal do Rio de Janeiro, PEN/COPPE, Ilha do Fundão s/n, 21945-970, P.O. Box 68509, Rio de Janeiro, Brazil and Comissão Nacional de Energia Nuclear, DIRE/IEN, Ilha do Fund& ...;Universidade Federal do Rio de Janeiro, PEN/COPPE, Ilha do Fundão s/n, 21945-970, P.O. Box 68509, Rio de Janeiro, Brazil

  • Venue:
  • Applied Soft Computing
  • Year:
  • 2003

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Abstract

This work proposes the use of genetic programming (GP) for automatic design of a fuzzy expert system aimed to provide the control of axial xenon oscillations in pressurized water reactors (PWRs). The control methodology is based on three axial offsets of xenon (AOx), iodine (AOi) and neutron flux (AOf), effectively used in former work. Simulations were made using a two-point xenon oscillation model, which employs the non-linear xenon and iodine balance equations and the one group, one-dimensional neutron diffusion equation, with non-linear power reactivity feedback, also proposed in the literature. Results have demonstrated the ability of the GP in finding a good fuzzy strategy, which can effectively control the axial xenon oscillations.