On-line prediction and mitigation of disruptions in ASDEX Upgrade

An on-line predictor of the time to disruption has been installed on the ASDEX Upgrade tokamak. It is suitable either for avoidance of disruptions or for mitigation of those that are unavoidable. The prediction uses a neural network trained on eight plasma parameters and their time derivatives extra...

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Bibliographic Details
Published in:Nuclear fusion 2002-01, Vol.42 (1), p.100-108
Main Authors: Pautasso, G, Tichmann, C, Egorov, S, Zehetbauer, T, Gruber, O, Maraschek, M, Mast, K.-F, Mertens, V, Perchermeier, I, Raupp, G, Treutterer, W, Windsor, C.G, Team, ASDEX Upgrade
Format: Article
Language:English
Subjects:
Computer applications
Neural networks
Plasma confinement
Plasma theory
Tokamak devices
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Summary:An on-line predictor of the time to disruption has been installed on the ASDEX Upgrade tokamak. It is suitable either for avoidance of disruptions or for mitigation of those that are unavoidable. The prediction uses a neural network trained on eight plasma parameters and their time derivatives extracted from 99 disruptive discharges. The network was tested off-line over 500 discharges and was found to work reliably and to be able to predict the majority of the disruptions. The trained network was installed on-line, tested over 128 discharges and used to inject killer pellets to mitigate the disruption loads.
ISSN:0029-5515
1741-4326
DOI:10.1088/0029-5515/42/1/314