Abstract

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.