A generic fuzzy controller for multivariable processes

Author

Dimirovski, G.M. ; Hanus, R. ; Burzevski, V.N. ; Iliev, O.L. ; Ikonomovski, S.V.

Author_Institution

ASE Lab., St. Cyril & St. Methodist Univ., Skopye, Macedonia

Volume

2

fYear

1994

fDate

5-9 Sep 1994

Firstpage

1359

Abstract

A generic fuzzy controller aimed at controlling MIMO processes with uncertain models has been designed and tested by means of simulation experiments using identified models of industrial as well as laboratory scale plants. It is essentially based on fuzzy logic algorithms and the class of triangle-induced fuzzy sets. It is of expert system type and uses the information on `error´ and `change-in-error´ in a particular manner

Keywords

MIMO systems; fuzzy control; fuzzy logic; fuzzy set theory; intelligent control; multivariable control systems; process control; uncertainty handling; MIMO process control; expert system type; fuzzy logic; generic fuzzy controller; industrial model; laboratory scale plant model; multivariable processes; triangle-induced fuzzy sets; uncertain models; Electrical equipment industry; Expert systems; Fuzzy control; Fuzzy logic; Fuzzy sets; Industrial control; Laboratories; MIMO; Process control; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics, Control and Instrumentation, 1994. IECON '94., 20th International Conference on

Conference_Location

Bologna

Print_ISBN

0-7803-1328-3

Type

conf

DOI

10.1109/IECON.1994.397992

Filename

397992