PoS - Proceedings of Science
Volume 429 - The 6th International Workshop on Deep Learning in Computational Physics (DLCP2022) - Posters
NARX neural prediction of oscillationalinstability at the IBR-2M reactor
M.T. Dima*, M. Dima and M. Mihailescu
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Pre-published on: November 14, 2022
Published on:
Abstract
During the start-up regime of the IBR-2M power fluctuations appear, which the Automatic Regulator system dampens. Their origin is not completely clear, however it is known that the major reactivity sources are from design – respectively the OPO and DPO reflectors: their axial fluctuations towards the active zone and their relative phase of intersecting each other facing the center of the active zone. A neuromorphic solution is sought to anticipate (5-10 s) such fluctua-tions. We present encouraging preliminary results obtained with a Non-linear Autoregressive Ex-ogenous (NARX) neural network, the main features of the fluctuations being anticipatable.
DOI: https://doi.org/10.22323/1.429.0031
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