Title :
An H∞ system identification algorithm applied to Tokamak modelling
Author :
Coutlis, A. ; Limebeer, D.J.N. ; Wainwright, J. ; Lister, J.B. ; Vyas, P. ; Ward, D.J.
Author_Institution :
Dept. of Electr. Eng., Imperial Coll. of Sci., Technol. & Med., London, UK
Abstract :
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
Keywords :
H∞ optimisation; Tokamak devices; control system synthesis; identification; minimisation; modelling; multivariable systems; physical instrumentation control; robust control; Chebycheff approximation; H∞ error minimisation; H∞ system identification algorithm; Hankel model reduction; MISO system identification; TCV Tokamak; Tokamak modelling; Tokamak simulation code; controller design; linear models; low-order model; robust controller design; worst-case identification technique; Educational institutions; Frequency estimation; Frequency measurement; Plasma simulation; Power system modeling; Reduced order systems; Robust control; System identification; Testing; Tokamaks;
Conference_Titel :
Decision and Control, 1997., Proceedings of the 36th IEEE Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-4187-2
DOI :
10.1109/CDC.1997.652429
