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Real-time implementation with FPGA-based DAQ system of a probabilistic disruption predictor from scratch
CIEMAT, Lab Nacl Fus, Avda Complutense 40, E-28040 Madrid, Spain.;CIEMAT, Lab Nacl Fus, Madrid, Spain..
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Fusion Plasma Physics.ORCID iD: 0000-0001-7741-3370
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Fusion Plasma Physics.
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Fusion Plasma Physics.ORCID iD: 0000-0002-9546-4494
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Number of Authors: 12302018 (English)In: Fusion engineering and design, ISSN 0920-3796, E-ISSN 1873-7196, Vol. 129, p. 179-182Article in journal (Refereed) Published
Abstract [en]

Real-time (RT) disruption prediction (DP) is essential to trigger mitigation actions that avoid irreversible damage to the devices. This paper deals with disruption mitigation alarms and performs the RT implementation of a probabilistic predictor. The RT implementation has been carried out with a fast controller with DAQ FPGA-based data acquisition devices corresponding to ITER catalogue (in particular, a reconfigurable Input/Output platform has been used). Up to three input signals have been used and relevant information for the prediction is extracted from the temporal and the frequency domains. The signals are read from the JET database. Then D/A conversions are carried out and used as inputs to the real time system. In this way, the whole process of digitization, data analysis and prediction is performed. The computation time for each prediction takes less than 200 mu s.

Place, publisher, year, edition, pages
Elsevier BV , 2018. Vol. 129, p. 179-182
Keywords [en]
Disruption prediction, Real-time, Machine learning, Venn predictors, Data acquisition, Fpga
National Category
Subatomic Physics
Identifiers
URN: urn:nbn:se:kth:diva-303830DOI: 10.1016/j.fusengdes.2018.02.071ISI: 000431094100028Scopus ID: 2-s2.0-85042770744OAI: oai:DiVA.org:kth-303830DiVA, id: diva2:1606490
Conference
11th IAEA Technical Meeting on Control, Data Acquisition, and Remote Participation for Fusion Research (TM CODAC), MAY 08-12, 2017, IPP, Greifswald, GERMANY
Note

QC 20211027

Available from: 2021-10-27 Created: 2021-10-27 Last updated: 2022-12-21Bibliographically approved

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Bergsåker, HenricBykov, IgorFrassinetti, LorenzoGarcia Carrasco, AlvaroHellsten, TorbjörnJonsson, ThomasMenmuir, SheenaPetersson, PerRachlew, ElisabethRatynskaia, Svetlana V.Rubel, MarekStefániková, EsteraStröm, PetterTholerus, SimonTolias, PanagiotisVallejos, PabloWeckmann, ArminZhou, Yushan

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Bergsåker, HenricBykov, IgorFrassinetti, LorenzoGarcia Carrasco, AlvaroHellsten, TorbjörnJonsson, ThomasMenmuir, SheenaPetersson, PerRachlew, ElisabethRatynskaia, Svetlana V.Rubel, MarekStefániková, EsteraStröm, PetterTholerus, SimonTolias, PanagiotisVallejos, PabloWeckmann, ArminZhou, Yushan
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