A Neural Network Approach to Tokamak Equilibrium Control

Christopher Bishop, Peter Cox, Paul Haynes, Colin Roach, Mike Smith, Tom Todd, David Trotman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

We exploit the properties of the multilayer perceptron to develop a neural network approach to the feedback control of plasma position and shape in a tokamak experiment. The requirements of large bandwidth and high precision have led us to develop a custom hybrid analogue-digital hardware implementation of the neural network using conventional components. It is planned to demonstrate a complete system on the COMPASS tokamak at Culham Laboratory.
Original languageEnglish
Title of host publicationNeural Network Applications
EditorsJ.G. Taylor
PublisherSpringer London
Pages114-128
Number of pages15
ISBN (Electronic)978-1-4471-2003-2
ISBN (Print)978-3-540-19772-0
DOIs
Publication statusPublished - 1992

Publication series

NamePerspectives in Neural Computing
PublisherSpringer London
ISSN (Print)1431-6854

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