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

by: Roberto P. Domingos, Gustavo H. F. Caldas, Claudio M. N. A. Pereira, and Roberto Schirru

In: Applied Soft Computing, Vol. 3, Nr. 4 (December 2003) , p. 317--323.

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URL:	http://www.sciencedirect.com/science/article/B6W86-49MX1MH-1/2/50727e0c9a470ae05a1e62675e4555d7
DOI:	10.1016/j.asoc.2003.05.002

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.

BibTeX record

@article{domingos:2003:ASC,
  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.},
  added-at = {2008-06-19T17:35:00.000+0200},
  author = {Domingos, Roberto P. and Caldas, Gustavo H. F. and Pereira, Claudio M. N. A. and Schirru, Roberto},
  biburl = {http://www.bibsonomy.org/bibtex/207888e0ee7b61ce34c884e6a5aadb0bf/brazovayeye},
  doi = {doi:10.1016/j.asoc.2003.05.002},
  interhash = {e7c1b9b7d8f72077278c63fa005b7fbc},
  intrahash = {07888e0ee7b61ce34c884e6a5aadb0bf},
  journal = {Applied Soft Computing},
  keywords = {Axial Fuzzy algorithms, control; genetic logic oscillations programming, xenon},
  month = {December},
  number = 4,
  pages = {317--323},
  timestamp = {2008-06-19T17:35:00.000+0200},
  title = {{PWR's} Xenon oscillation control through a fuzzy
                 expert system automatically designed by means of
                 genetic programming},
  url = {http://www.sciencedirect.com/science/article/B6W86-49MX1MH-1/2/50727e0c9a470ae05a1e62675e4555d7},
  volume = 3,
  year = 2003
}

Endnote record

%0 Journal Article
%1 domingos:2003:ASC
%A Domingos, Roberto P.
%A Caldas, Gustavo H. F.
%A Pereira, Claudio M. N. A.
%A Schirru, Roberto
%D 2003
%J Applied Soft Computing
%K 
%N 4
%P 317--323
%T {PWR's} Xenon oscillation control through a fuzzy
                 expert system automatically designed by means of
                 genetic programming
%R doi:10.1016/j.asoc.2003.05.002
%U http://www.sciencedirect.com/science/article/B6W86-49MX1MH-1/2/50727e0c9a470ae05a1e62675e4555d7
%V 3
%X 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.

BibSonomy :: publication ::

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

Resources (URL, PDF, PS...)

Abstract

BibTeX record

Endnote record