DocumentCode
269312
Title
PIMPA: A Tool for oPtImal Measurement Probes Allocation
Author
De Tommasi, Gianmaria ; Neto, AndreÌ 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
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