Defuzzification filters and applications to power system stabilization problems

Author

Esogbue, Augustine O. ; Song, Qiang ; Hearnes, Warren E., II

Author_Institution

Sch. of Ind. & Syst. Eng., Georgia Inst. of Technol., Atlanta, GA, USA

Volume

2

fYear

1996

fDate

14-17 Oct 1996

Firstpage

1047

Abstract

In this paper, the concept of defuzzification filters in a control system setting is discussed and how to design such filters considered. The design of such filters requires a model of the plant, and the inverse of it. A reference control signal is computed and then used to generate the actual defuzzified control signal which will be applied to control the plant. Application of the defuzzification filter to power system stabilization problem is presented

Keywords

Z transforms; filtering theory; fuzzy control; least squares approximations; neurocontrollers; power system control; power system stability; recursive estimation; self-adjusting systems; control system; defuzzification filters; defuzzified control signal; power system stabilization; Control systems; Electrical equipment industry; Filters; Fuzzy systems; Industrial control; Intelligent control; Intelligent systems; Power system dynamics; Power system modeling; Systems engineering and theory;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 1996., IEEE International Conference on

Conference_Location

Beijing

ISSN

1062-922X

Print_ISBN

0-7803-3280-6

Type

conf

DOI

10.1109/ICSMC.1996.571225

Filename

571225