Design and Implementation of Fuzzy Supervisory Controllers Using Fuzzy c-Means Clustering Combined with Fuzzy Gain Scheduling for a Binary Distillation Column

Author

Somsung, Kannawat ; Pratishthananda, Suvalai

Author_Institution

Dept. of Process Control & Autom., Nakornthai Strip Mill Plc, Chonburi

fYear

2006

fDate

7-9 June 2006

Firstpage

1

Lastpage

6

Abstract

In this paper, fuzzy supervisory PI controllers are developed and implemented on a pilot plant binary distillation column. Fuzzy c-means clustering technique is used in selecting membership functions and fuzzy rules are determined using fuzzy gain scheduling technique. Thus, the need of heuristic method for designing fuzzy membership functions and rules from expert knowledge is omitted. Then, the fuzzy supervisors adapt the parameters of the PI controllers on line. The task of the controllers is to perform dual composition control of the top and bottom products when the disturbances enter the column in the form of changes in feed flow rate. The results show that the fuzzy supervisory PI controllers achieve much better performance than the fixed PI controllers

Keywords

PI control; distillation equipment; fuzzy control; pattern clustering; binary distillation column; fuzzy c-means clustering; fuzzy gain scheduling; fuzzy supervisory PI controllers; Automatic control; Design methodology; Distillation equipment; Feeds; Fuzzy control; Fuzzy systems; Job shop scheduling; Optimal control; Process control; Temperature control; binary distillation column; fuzzy c-means clustering; fuzzy gain scheduling; fuzzy supervisory controllers;

fLanguage

English

Publisher

ieee

Conference_Titel

Cybernetics and Intelligent Systems, 2006 IEEE Conference on

Conference_Location

Bangkok

Print_ISBN

1-4244-0023-6

Type

conf

DOI

10.1109/ICCIS.2006.252355

Filename

4017914