Neural Network Applications pp 114-128
A Neural Network Approach to Tokamak Equilibrium Control
- 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
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.
Unable to display preview. Download preview PDF.