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Abstract

This paper describes 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 minimize the Eta (infinity) 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 of Chebycheff approximation. Results show the application of this method to a powerful tokamak simulation code (TSC) and discuss results on the TVC tokamak in Lausanne.

Additional information

Authors: COUTLIS A, Centre for Process Systems Engineering, Imperial College, London (GB);LIMEBEER D J N, Centre for Process Systems Engineering, Imperial College, London (GB);WAINWRIGHT J, Centre for Process Systems Engineering, Imperial College, London (GB);LISTER J B, Centre de Recherches en Physique de Plasmas, Ecole Polytechnique Fédérale de Lausanne (CH);VYAS P, Centre de Recherches en Physique de Plasmas, Ecole Polytechnique Fédérale de Lausanne (CH);WARD D J, Centre de Recherches en Physique de Plasmas, Ecole Polytechnique Fédérale de Lausanne (CH)
Bibliographic Reference: Article: Proceedings of the 36th IEEE Conference on Decision and Control (1997) pp. 3685-3690
Record Number: 199811012 / Last updated on: 1998-09-15
Category: PUBLICATION
Original language: en
Available languages: en