Fast Nonlinear Extraction of Plasma Equilibrium Parameters Using a Neural Network Mapping

The shaping of non-circular plasmas requires a non-linear mapping between the measured diagnostic signals and selected equilibrium parameters. The particular configuration of neural network known as the multilayer perceptron provides a powerful and general technique for formulating an arbitrary continuous non-linear multidimensional mapping. This technique has been successfully applied to the extraction of equilibrium parameters from measurements of single-null diverted plasmas in the DIII-D tokamak; the results are compared with a purely linear mapping. The method is promising, and hardware implementation is straightforward.


Published in:
Nuclear Fusion, 31, 7, 1291-1300
Year:
1991
ISSN:
0029-5515
ISBN:
0029-5515
Laboratories:
SPC
CRPP




 Record created 2008-04-16, last modified 2018-09-13


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