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Determining the state of a process control system: Current trends and future challenges
Author(s) -
Shardt Y.,
Zhao Y.,
Qi F.,
Lee K.,
Yu X.,
Huang B.,
Shah S.
Publication year - 2012
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.20653
Subject(s) - control (management) , process (computing) , process control , controller (irrigation) , industrial control system , computer science , control system , state (computer science) , risk analysis (engineering) , model predictive control , supervisory control , reliability engineering , control engineering , engineering , systems engineering , artificial intelligence , business , electrical engineering , algorithm , agronomy , biology , operating system
In many industrial plants, multiple, interconnected control loops are common. Their maintenance and improvement requires detailed controller performance assessment to determine not only whether they are behaving well, but also to determine the potential cause of any observed problems. Techniques for performance assessment can be divided into two broad categories (1) performance assessment of regulatory control loops; and (2) performance assessment of supervisory control loops that evaluate the economic performance of advanced control strategies, such as model predictive control (MPC). A comprehensive review of the literature on the industrial applications of performance assessment, as well as some of the currently available software, is also presented. © 2011 Canadian Society for Chemical Engineering