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.
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