A design methodology of constraint-based fuzzy logic controller

Author

Chiang, David ; Lai, Robert

Author_Institution

Dept. of Comput. Eng.& Sci., Yuan Ze Univ., Chung-li, Taiwan

Volume

3

fYear

2001

fDate

25-28 July 2001

Firstpage

1259

Abstract

Constraint-based fuzzy logic controllers (CFLCs) have been recognized as a unified framework of control system design. Arbitrary types of constraints are allowed in a CFLC to specify the desired states of a plant. The purpose of this paper is to present a design methodology of CFLCs, transforming the intention of a control system into a network of fuzzy constraints. The task of designing a CFLC could be viewed as a process of incremental constraint-based problem-solving, namely a fuzzy constraint refinement problem. Specifically, a schema could be derived for the configuration of a CFLC; after that, constraints can be gradually added (or removed) into the schema until the performance requirements are met. Based on this framework, we have successfully designed a CFLC for modeling a simplified rotary cement kiln that has both nonlinear and time varying characteristics of a plant

Keywords

cement industry; constraint handling; control system synthesis; fuzzy control; problem solving; CFLC; constraint-based fuzzy logic controllers; control system design; design methodology; fuzzy constraint refinement problem; fuzzy constraints; incremental constraint-based problem-solving; nonlinear characteristics; rotary cement kiln; time varying characteristics; Control system synthesis; Control systems; Design methodology; Fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems; Kilns; Problem-solving; Process control;

fLanguage

English

Publisher

ieee

Conference_Titel

IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th

Conference_Location

Vancouver, BC

Print_ISBN

0-7803-7078-3

Type

conf

DOI

10.1109/NAFIPS.2001.943728

Filename

943728