An H∞ system identification algorithm applied to Tokamak modelling

In this paper we describe the application of MISO system identification to Tokamak simulations and machines. The work is motivated by the desire to create linear models for the design of modern controllers. The method described in this paper is a worst-case identification technique, in that it aims to minimise the H^∞ error between the identified model and the plant. Such a model is particularly suited for robust controller design. The method is fully detailed from the design of identification experiments through to the creation of a low-order model from a combination of Hankel model reduction and Chebycheff approximation. We show results from the application of this method to a powerful Tokamak simulation code (TSC) and discuss results on the TCV Tokamak in Lausanne