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Real-time plasma state monitoring and supervisory control on TCV

Blanken, T. C.; Felici, F.; Galperti, C.; Kong, M.; Sauter, O.; Baar, M. R. de; Vu, N. M. T.; Meyer, H.; Eich, T.; Beurskens, M.; Coda, S.; Hakola, A.; Martin, P.; Adamek, J.; Agostini, M.; Aguiam, D.; Ahn, J.; Aho-Mantila, L.; Akers, R.; Albanese, R.; ... mehr

In ITER and DEMO, various control objectives related to plasma control must be simultaneously achieved by the plasma control system (PCS), in both normal operation as well as off-normal conditions. The PCS must act on off-normal events and deviations from the target scenario, since certain sequences (chains) of events can precede disruptions. It is important that these decisions are made while maintaining a coherent prioritization between the real-time control tasks to ensure high-performance operation. In this paper, a generic architecture for task-based integrated plasma control is proposed. The architecture is characterized by the separation of state estimation, event detection, decisions and task execution among different algorithms, with standardized signal interfaces. Central to the architecture are a plasma state monitor and supervisory controller. In the plasma state monitor, discrete events in the continuous-valued plasma state are modeled using finite state machines. This provides a high-level representation of the plasma state. The supervisory controller coordinates the execution of multiple plasma control tasks by assigning task priorities, based on the finite states of the plasma and the pulse schedule. ... mehr

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Verlagsausgabe §
DOI: 10.5445/IR/1000104374
Veröffentlicht am 18.12.2019
DOI: 10.1088/1741-4326/aaf451
Zitationen: 7
Web of Science
Zitationen: 5
Zitationen: 7
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Technische Physik (ITEP)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2019
Sprache Englisch
Identifikator ISSN: 0029-5515, 1741-4326
KITopen-ID: 1000104374
Erschienen in Nuclear fusion
Verlag International Atomic Energy Agency (IAEA)
Band 59
Heft 2
Seiten Art. Nr.: 026017
Vorab online veröffentlicht am 09.01.2019
Nachgewiesen in Dimensions
Web of Science
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