DocumentCode :
1623489
Title :
Optimized Model Predictive Control of Commercial BTX Plant using Profit® 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; Profit® 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
Link To Document :
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