Genetic algorithms for controller order reduction

Author

Caponetto, R. ; Fortuna, L. ; Muscato, G. ; Xibilia, M.G.

Author_Institution

Istituto di Elettrotecnica ed Elettronica, Catania Univ., Italy

fYear

1994

fDate

27-29 Jun 1994

Firstpage

724

Abstract

In this paper genetic algorithms are applied as an optimization strategy in a controller order reduction procedure. GAs capability to get out local minima is used to determine a reduced-order controller which optimally approximate the full-order one. Particular attention has been devoted to guarantee a good stability margin and a suitable index is minimized, by using GAs, in order to compute the parameters of a reduced-order controller which guarantee the stability of the closed loop systems. An example taken from literature has been reported to confirm the suitability of the strategy

Keywords

closed loop systems; control systems; genetic algorithms; optimisation; closed loop systems; controller order reduction; genetic algorithms; index; local minima; optimization strategy; reduced-order controller; stability; stability margin; Automatic control; Closed loop systems; Control systems; Genetic algorithms; Modems; Open loop systems; Optimal control; Reduced order systems; Robust control; Robust stability;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolutionary Computation, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the First IEEE Conference on

Conference_Location

Orlando, FL

Print_ISBN

0-7803-1899-4

Type

conf

DOI

10.1109/ICEC.1994.349967

Filename

349967