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A system inversion approach to robust set-point regulation

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2 Author(s)
Piazzi, A. ; Dipt. di Ingegneria dell'Inf., Parma Univ. ; Visioli, A.

We present a novel methodology, based on system inversion, for the set-point regulation of a system with structured uncertainties. The approach consists in choosing a polynomial as the output function and then designing both the controller and the reference input in order to minimize the worst-case settling-time of the set-point regulation, with constraints on the absolute value of the control variable and on the maximum overshoot of the output. A comparison with a traditional methodology, based on the step-response, shows how the overall design is simplified and how the worst-case settling-time can be greatly reduced. Optimization has been performed by means of genetic algorithms

Published in:

Decision and Control, 1998. Proceedings of the 37th IEEE Conference on  (Volume:4 )

Date of Conference:

16-18 Dec 1998