DocumentCode :
269312
Title :
PIMPA: A Tool for oPtImal Measurement Probes Allocation
Author :
De Tommasi, Gianmaria ; Neto, André C. ; Sterle, Claudio
Author_Institution :
Dipt. di Ing. Elettr. e delle Tecnol. dell´Inf., Univ. degli Studi di Napoli Federico II, Naples, Italy
Volume :
42
Issue :
4
fYear :
2014
fDate :
Apr-14
Firstpage :
976
Lastpage :
983
Abstract :
The magnetic diagnostic system plays a crucial role in a Tokamak reactor and, more generally, in any magnetically confined fusion device. Indeed, all the essential quantities for plasma control are computed by a number of processing nodes, starting from the magnetic fluxes and fields acquired by this diagnostic system. This paper presents the tool for oPtImal Measurement Probes Allocation (PIMPA) in a magnetic diagnostic system. PIMPA is based on the solution of an integer linear programming problem, and aims at maximizing the reliability of the diagnostic system against the failure of one or more of the processing nodes. Although in this paper, PIMPA is introduced for the optimal allocation among the processing nodes of the magnetic probes, it can be easily extended to any diagnostic system. A case study that considers a distributed and scalable architecture for the ITER Tokamak is presented to show the effectiveness of the proposed approach.
Keywords :
Tokamak devices; plasma probes; plasma toroidal confinement; ITER tokamak; PIMPA; distributed architecture; integer linear programming problem; magnetic diagnostic system; magnetic fields; magnetic fluxes; magnetically confined fusion device; optimal measurement probe allocation; plasma control; processing nodes; scalable architecture; tokamak reactor; Computer architecture; Nickel; Probes; Resource management; Tokamaks; Toroidal magnetic fields; Instrumentation and control; Tokamak magnetic diagnostics; Tokamak magnetic diagnostics.; integer linear programming (ILP); optimal allocation;
fLanguage :
English
Journal_Title :
Plasma Science, IEEE Transactions on
Publisher :
ieee
ISSN :
0093-3813
Type :
jour
DOI :
10.1109/TPS.2014.2309801
Filename :
6775317
Link To Document :
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