%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 }