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