Multicriteria fuzzy expert system for process control

Author

Kim, Kwang-Choon ; Kim, Jong-Hwan ; Lee, Bong-Kuk ; Sang-Keun, Shin

Author_Institution

Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Seoul, South Korea

Volume

1

fYear

1996

fDate

14-17 Oct 1996

Firstpage

232

Abstract

A multicriteria fuzzy expert system is developed for process control based on multicriteria fuzzy control (MFC). The basic idea underlying the MFC is based on analyzing the source of attributes of the system output responses and applying the fuzzy measure and integral theory to the existing fuzzy logic control. By the MFC, we can obtain desired output responses by tuning the fuzzy measure of consideration grade of each attribute. The fuzzy expert system selects a set of the fuzzy measures of the MFC for the desired output response satisfying prespecified time-domain specification. For this end, it examines features of each transient response and the corresponding set of fuzzy measures. By this system, lots of tuning effort and time can be saved for the desired output response satisfying the design specifications. The performance of the proposed scheme is demonstrated via experiments for temperature control of a drying oven

Keywords

drying; expert systems; fuzzy control; process control; temperature control; transient response; drying oven; fuzzy measure; fuzzy measures; integral theory; multicriteria fuzzy expert system; process control; temperature control; time-domain specification; transient response; Control systems; Fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems; Hybrid intelligent systems; Process control; Temperature control; Time domain analysis; Transient response;

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.1996.569772

Filename

569772