Comparative performance analysis of fuzzy logic controller for the composition control of binary distillation column

Author

Singh, Amit Kumar ; Tyagi, Barjeev ; Kumar, Vishal

Author_Institution

Dept. of Electr. Eng., Indian Inst. of Technol., Roorkee, India

fYear

2011

fDate

22-24 Sept. 2011

Firstpage

515

Lastpage

519

Abstract

A fuzzy logic control scheme has been proposed here for binary distillation column. To get the desired composition of products for a binary distillation column, manipulated variables have been adjusted by proposed Fuzzy Inference Systems (FIS). Two separate fuzzy inference systems has been designed to control the top and bottom product composition. The scheme uses fuzzy rules and reasoning to determine the desired outputs based on the error signal and its first difference. The results found by the fuzzy based scheme have been finally compared with the conventional controllers PID and Model Predictive Control (MPC) methods.

Keywords

chemical engineering; distillation equipment; fuzzy control; fuzzy reasoning; fuzzy set theory; predictive control; three-term control; PID controllers; binary distillation column composition control; comparative performance analysis; error signal; fuzzy inference systems; fuzzy logic control scheme; fuzzy reasoning; fuzzy rules; model predictive control methods; product composition; Control systems; Distillation equipment; Fuzzy logic; Fuzzy sets; Mathematical model; Methanol; Pragmatics; Distillation column control; Fuzzy Inference Systems; Reflux flow rate;

fLanguage

English

Publisher

ieee

Conference_Titel

Recent Advances in Intelligent Computational Systems (RAICS), 2011 IEEE

Conference_Location

Trivandrum

Print_ISBN

978-1-4244-9478-1

Type

conf

DOI

10.1109/RAICS.2011.6069365

Filename

6069365