A system inversion approach to robust set-point regulation

Author

Piazzi, Aurelio ; Visioli, A.

Author_Institution

Dipt. di Ingegneria dell´Inf., Parma Univ.

Volume

4

fYear

1998

fDate

16-18 Dec 1998

Firstpage

3849

Abstract

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

Keywords

continuous time systems; feedback; genetic algorithms; linear systems; robust control; step response; uncertain systems; continuous time systems; feedback; genetic algorithms; linear time invariant systems; minimum phase systems; optimization; overshoot; polynomial; robust control; set-point control; settling-time; step-response; system inversion; uncertain systems; Actuators; Genetic algorithms; Multidimensional systems; Output feedback; Performance analysis; Polynomials; Reproducibility of results; Robustness; Uncertain systems; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 1998. Proceedings of the 37th IEEE Conference on

Conference_Location

Tampa, FL

ISSN

0191-2216

Print_ISBN

0-7803-4394-8

Type

conf

DOI

10.1109/CDC.1998.761828

Filename

761828