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Generic model control — A case study
Author(s) -
Lee P. L.,
Newell R. B.,
Sullivan G. R.
Publication year - 1989
Publication title -
the canadian journal of chemical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.404
H-Index - 67
eISSN - 1939-019X
pISSN - 0008-4034
DOI - 10.1002/cjce.5450670320
Subject(s) - process (computing) , control theory (sociology) , model predictive control , control (management) , computer science , process control , nonlinear system , loop (graph theory) , control engineering , energy (signal processing) , nonlinear model , engineering , mathematics , artificial intelligence , physics , operating system , statistics , quantum mechanics , combinatorics
This paper outlines the use of a process model directly in a control algorithm. The process considered, a forced circulation single‐stage evaporator, is a nonlinear interacting process. The control strategy employing a process model derived from fundamental mass and energy balances is shown to outperform single loop and predictive control strategies by a significant amount. The control structure is first presented in general form and then specifically applied to this process.