On-line prediction and mitigation of disruptions in ASDEX Upgrade

被引:76
作者
Pautasso, G [1 ]
Tichmann, C
Egorov, S
Zehetbauer, T
Gruber, O
Maraschek, M
Mast, KF
Mertens, V
Perchermeier, I
Raupp, G
Treutterer, W
Windsor, CG
机构
[1] Max Planck Inst Plasma Phys, EURATOM Assoc, Garching, Germany
[2] Tech Univ St Petersburg, St Petersburg, Russia
[3] UKAEA Euratom Fus Assoc, Abingdon, Oxon, England
关键词
D O I
10.1088/0029-5515/42/1/314
中图分类号
O35 [流体力学]; O53 [等离子体物理学];
学科分类号
070204 ; 080103 ; 080704 ;
摘要
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.
引用
收藏
页码:100 / 108
页数:9
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