Fuzzy supervisory PI control of a binary distillation column via distributed control systems

Author

Cheingjong, Poramade ; Pratishthananda, Suvalai

Author_Institution

Fac. of Eng., Dept. of Electr. Eng., Chulalongkorn Univ., Bangkok

fYear

2008

fDate

17-20 Dec. 2008

Firstpage

577

Lastpage

581

Abstract

In this paper, the fuzzy supervisory PI control is implemented via distributed control systems (DCS) to control a binary distillation column. The fuzzy c-mean clustering is used to identify the 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 to maintain the top and the bottom temperature of the distillation column in spite of the changes in feed flow rate. Distributed control system instrumentation has had a major impact in allowing advanced control to be designed, implemented, operated and maintained.

Keywords

PI control; chemical industry; distillation; distillation equipment; distributed parameter systems; fuzzy control; pattern clustering; petroleum industry; binary distillation column; chemical industries; distributed control system instrumentation; expert knowledge; fuzzy c-mean clustering; fuzzy gain scheduling technique; fuzzy membership functions; fuzzy supervisory PI control; petroleum industries; Control systems; Design methodology; Distillation equipment; Distributed control; Feeds; Fuzzy control; Fuzzy systems; Instruments; Pi control; Temperature control; Binary distillation column; Distributed control systems; Fuzzy supervisory PI control;

fLanguage

English

Publisher

ieee

Conference_Titel

Control, Automation, Robotics and Vision, 2008. ICARCV 2008. 10th International Conference on

Conference_Location

Hanoi

Print_ISBN

978-1-4244-2286-9

Electronic_ISBN

978-1-4244-2287-6

Type

conf

DOI

10.1109/ICARCV.2008.4795582

Filename

4795582