A Neural Network Approach to Tokamak Equilibrium Control

  • Chris Bishop
  • Peter Cox
  • Paul Haynes
  • Colin Roach
  • Mike Smith
  • Tom Todd
  • David Trotman
Conference paper

DOI: 10.1007/978-1-4471-2003-2_9

Part of the Perspectives in Neural Computing book series (PERSPECT.NEURAL)
Cite this paper as:
Bishop C. et al. (1992) A Neural Network Approach to Tokamak Equilibrium Control. In: Taylor J.G. (eds) Neural Network Applications. Perspectives in Neural Computing. Springer, London

Abstract

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.

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Copyright information

© Springer-Verlag London Limited 1992

Authors and Affiliations

  • Chris Bishop
    • 1
  • Peter Cox
    • 2
  • Paul Haynes
    • 2
  • Colin Roach
    • 2
  • Mike Smith
    • 2
  • Tom Todd
    • 2
  • David Trotman
    • 2
  1. 1.Harwell LaboratoryAEA TechnologyOxfordshireUK
  2. 2.Culham LaboratoryAEA TechnologyOxfordshireUK

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