The present work intends to introduce a soft computing
technique as an effective and robust tool available to
deal with nuclear engineering problems. This goal is
reached by the presentation of an application: a
genetic programming system (GP) able to automatically
design a controller for the axial xenon oscillations in
a pressurised water reactors (PWRs). The axial xenon
oscillations control methodology is based on three
axial offsets: the xenon axial offset (AOx), the iodine
axial offset (AOi) and the neutron flux axial offset
(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. Obtained
results showed the ability of the GP in finding a
strategy which can effectively control the axial xenon
oscillations.
%0 Journal Article
%1 Domingos:2005:PNE
%A Domingos, Roberto P.
%A Schirru, Roberto
%A Martinez, Aquilino Senra
%D 2005
%J Progress in Nuclear Energy
%K algorithms, computation, control, evolutionary genetic oscillation programming, xenon
%N 3-4
%P 297--308
%R doi:10.1016/j.pnucene.2005.03.011
%T Soft computing systems applied to PWR's xenon
%V 46
%X The present work intends to introduce a soft computing
technique as an effective and robust tool available to
deal with nuclear engineering problems. This goal is
reached by the presentation of an application: a
genetic programming system (GP) able to automatically
design a controller for the axial xenon oscillations in
a pressurised water reactors (PWRs). The axial xenon
oscillations control methodology is based on three
axial offsets: the xenon axial offset (AOx), the iodine
axial offset (AOi) and the neutron flux axial offset
(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. Obtained
results showed the ability of the GP in finding a
strategy which can effectively control the axial xenon
oscillations.
@article{Domingos:2005:PNE,
abstract = {The present work intends to introduce a soft computing
technique as an effective and robust tool available to
deal with nuclear engineering problems. This goal is
reached by the presentation of an application: a
genetic programming system (GP) able to automatically
design a controller for the axial xenon oscillations in
a pressurised water reactors (PWRs). The axial xenon
oscillations control methodology is based on three
axial offsets: the xenon axial offset (AOx), the iodine
axial offset (AOi) and the neutron flux axial offset
(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. Obtained
results showed the ability of the GP in finding a
strategy which can effectively control the axial xenon
oscillations.},
added-at = {2008-06-19T17:35:00.000+0200},
author = {Domingos, Roberto P. and Schirru, Roberto and Martinez, Aquilino Senra},
biburl = {https://www.bibsonomy.org/bibtex/2cacf515b74d728e976a7e5e2f4e05565/brazovayeye},
doi = {doi:10.1016/j.pnucene.2005.03.011},
interhash = {99bf2ca6c0abdd71ff30cf5562c2b010},
intrahash = {cacf515b74d728e976a7e5e2f4e05565},
journal = {Progress in Nuclear Energy},
keywords = {algorithms, computation, control, evolutionary genetic oscillation programming, xenon},
number = {3-4},
pages = {297--308},
timestamp = {2008-06-19T17:38:51.000+0200},
title = {Soft computing systems applied to {PWR}'s xenon},
volume = 46,
year = 2005
}