Reconstruction of plasma current profile of tokamaks using combinatorial optimization techniques

Author

Kishimoto, Maki ; Sakasai, Kaoru ; Ara, Katuyuki ; Fujita, Takaaki ; Suzuki, Yasuo

Author_Institution

Tokai Res. Establ., JAERI, Ibaraki, Japan

Volume

24

Issue

2

fYear

1996

fDate

4/1/1996 12:00:00 AM

Firstpage

528

Lastpage

538

Abstract

New methods to reconstruct plasma shape and plasma current distribution from magnetic measurements are proposed. The reconstruction of plasma current profile from magnetic measurements is regarded as an optimum allocation problem of currents into cross section of the vacuum vessel of the tokamak. For solving this optimization problem, we use two types of solutions: a genetic algorithm and a combined method of a Hopfield neural network and a genetic algorithm. The effectiveness of these methods is shown by the application of these techniques to JT-60U plasmas

Keywords

Hopfield neural nets; combinatorial mathematics; genetic algorithms; plasma diagnostics; plasma properties; plasma toroidal confinement; Hopfield neural network; JT-60U plasmas; combinatorial optimization techniques; genetic algorithm; magnetic measurements; plasma current profile; plasma shape; tokamaks; vacuum vessel; Current distribution; Genetic algorithms; Magnetic field measurement; Magnetic flux; Optimization methods; Plasma measurements; Plasma properties; Probes; Shape measurement; Tokamaks;

fLanguage

English

Journal_Title

Plasma Science, IEEE Transactions on

Publisher

ieee

ISSN

0093-3813

Type

jour

DOI

10.1109/27.510019

Filename

510019