A preliminary study of hybrid fuzzy/statistically-based controllers

Author

Wright, Andrew L. ; Ralston, Patricia A S

Author_Institution

Dept. of Eng. Math. & Comput. Sci., Louisville Univ., KY, USA

fYear

1994

fDate

26-29 Jun 1994

Firstpage

549

Abstract

This paper describes the development and preliminary analysis of hybrid fuzzy/statistically-based controllers, including Fuzzy CUSUM. The Fuzzy CUSUM controller is a modification of a CUSUM type controller developed from statistical quality control concepts with fuzzy elements added. These controllers may be used in several process applications, especially the quality control of batch operations. First, the original controller is described and its performance evaluated. Next, the fuzzy elements are added to the controller and its performance is detailed. A completely randomized block experimental design and Duncan´s multiple range test are used to compare the hybrid controllers to other types of controllers currently being explored, under a variety of disturbance conditions. The hybrid fuzzy/statistically-based controllers significantly outperform all other controllers examined

Keywords

control system synthesis; fuzzy control; fuzzy set theory; quality control; statistical process control; Duncan multiple range test; Fuzzy CUSUM controller; disturbance conditions; fuzzy control; hybrid fuzzy/statistically-based controllers; randomized block experimental design; statistical quality control; Computer science; Design for experiments; Drives; Fuzzy control; Machinery; Mathematics; Polymers; Quality control; Sampling methods; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on

Conference_Location

Orlando, FL

Print_ISBN

0-7803-1896-X

Type

conf

DOI

10.1109/FUZZY.1994.343725

Filename

343725