DocumentCode :
2902814
Title :
DMCplusTM model predictive control applications
Author :
Goodhar, S.G.
Author_Institution :
Adv. Control & Optimization Div., AspenTech Ltd., Cambridge, UK
fYear :
1999
fDate :
1999
Firstpage :
42522
Lastpage :
42527
Abstract :
This paper gives two brief illustrations of the successful DMCplus TM constrained, multivariable, model predictive control (MPC) scheme, using case studies of applications in the refining and chemicals industries. The case studies give a brief overview of the processes, describing process and optimisation strategies, the scope of the DMCplus controllers, how process nonlinearities are accommodated and a discussion of the critical success factors in these projects. The software uses graphic tools and interfaces
Keywords :
oil refining; DMCplusTM model predictive control applications; chemicals industry; constrained, multivariable, model predictive control (MPC); graphic interfaces; graphic tools; optimisation strategies; process and optimisation strategies; process nonlinearities; refining and chemicals industry;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Model Predictive Control: Techniques and Applications - Day 2 (Ref. No. 1999/096), IEE Two-Day Workshop on
Conference_Location :
London
Type :
conf
DOI :
10.1049/ic:19990543
Filename :
773276
Link To Document :
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