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Title: Identification of plasma equilibria in ITER from magnetic measurements via functional parameterization and neural networks
Source: FUSION TECHNOLOGY 30 (2): 219-236 NOV 1996
Document Type: Article
Language: English
Abstract: Real-time
control of the plasma shape in the International Thermonuclear
Experimental Reactor (ITER) calls for a fast and accurate
identification of the equilibrium starting from magnetic measurements.
The technique proposed for ITER interpolates the actual equilibrium
within a previously generated dataset where each parameter is given a
sufficiently wide range of variation. The properties of the artificial
neural networks (ANNs) are shown to be well suited for this task. The
satisfactory comparison with the functional parameterization, which is
currently adopted for the feedback control in ASDEX-Upgrade, makes the
proposed technique well linked to the experience available in current
experiments.
The ANN technique also provides an algorithm for the selection of
the number and location of the magnetic sensors, which is an important
issue for the ITER design. A preliminary analysis of the effects of the
eddy currents flowing in the structure is also included. Numerical
results presented refer to the so-called TAC-4 ITER geometry;
extrapolation to update geometries with a close poloidal field concept
is straightforward.
KeyWords Plus: SHAPE IDENTIFICATION; TOKAMAKS; EXPANSION; PROFILES; JET
Addresses: Albanese
R (reprint author), UNIV NAPLES FEDERICO II, CONSORZIO CREATE,
DIPARTIMENTO INGN ELETTR, VIA CLAUDIO 21, NAPLES, I-80125 ITALY
MAX PLANCK INST PLASMA PHYS, ASDEX, GARCHING, D-85740 GERMANY
NATL UNIV IRELAND UNIV COLL CORK, DEPT PHYS, CORK, IRELAND
Publisher: AMER NUCLEAR SOCIETY, 555 N KENSINGTON AVENUE, LA GRANGE PK, IL 60525
Subject Category: NUCLEAR SCIENCE & TECHNOLOGY
IDS Number: VQ754
ISSN: 0748-1896
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