A Neural Network Approach to Tokamak Equilibrium Control
- Christopher Bishop ,
- Peter Cox ,
- Paul S. Haynes ,
- Colin M. Roach ,
- Mike E. U. Smith ,
- Tom N. Todd ,
- David L. Trotman
in Neural Network Applications
Published by Springer | 1992 | Neural Network Applications edition
We exploit the properties of the multi-layer 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.