Title :
Hybrid fuzzy/statistically-based controllers: a preliminary comparison
Author :
Wright, Andrew L. ; Ralston, Patricia A S
Author_Institution :
Dept. of Eng. Math. & Comput. Sci., Louisville Univ., KY, USA
Abstract :
This paper describes the development and preliminary analysis of hybrid fuzzy/statistically-based controllers, including Fuzzy Western Electric. The Fuzzy Western Electric controller is a modification of a runs rules 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 :
controllers; fuzzy control; industrial control; statistical analysis; Fuzzy Western Electric; batch operations; fuzzy elements; hybrid fuzzy/statistically-based controllers; multiple range test; runs-rules-type controller; statistical quality control concepts; Computer science; Design for experiments; Electric variables control; Fuzzy control; Fuzzy sets; Mathematics; Polymers; Quality control; Sampling methods; Testing;
Conference_Titel :
Intelligent Control, 1994., Proceedings of the 1994 IEEE International Symposium on
Conference_Location :
Columbus, OH
Print_ISBN :
0-7803-1990-7
DOI :
10.1109/ISIC.1994.367851