Optimized Model Predictive Control of Commercial BTX Plant using ProfitÂ® Controller

Author

Yoo, S.C. ; Kim, T.G. ; Choi, B.G. ; Ahn, S.M. ; Yoon, J.K. ; Seo, S.T. ; Kim, H.S.

Author_Institution

BTX Production Team, LG Petrochem. Co. Ltd., Yeosu

fYear

2006

Firstpage

1341

Lastpage

1344

Abstract

This paper presents the results of a model predictive control project using Honeywell´s Profitreg Controller RMPCT Technology on a BTX (benzene, toluene and xylene) plant at the LG Petrochemical Co., Ltd. located in Yeosu, Korea. Post-project performance analysis shows the extractor production has been increased. The application of Honeywell´s robust multivariable predictive control technology (RMPCT) is proper for the BTX plant due to the present of multiple recycle loops, long process delay and the variation of plant constraint due to the weather condition

Keywords

industrial plants; multivariable control systems; optimal control; petrochemicals; predictive control; robust control; Honeywell Profitreg Controller; LG Petrochemical Co. Ltd; benzene; commercial BTX plant; multiple recycle loops; optimized model predictive control; post-project performance analysis; robust multivariable predictive control technology; toluene; xylene; Feeds; Fractionation; Hydrocarbons; Petrochemicals; Poles and towers; Predictive control; Predictive models; Production; Solvents; Water conservation; BTX plant; MPC; Optimization; ProfitÂ® Controller; RMPCT;

fLanguage

English

Publisher

ieee

Conference_Titel

SICE-ICASE, 2006. International Joint Conference

Conference_Location

Busan

Print_ISBN

89-950038-4-7

Electronic_ISBN

89-950038-5-5

Type

conf

DOI

10.1109/SICE.2006.315509

Filename

4109173