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Generating Operating Command Sequences for the Regulation of Complex Chemical Processes Using Artificial Intelligence Techniques
Author(s) -
Roach J. R.,
O'Neill B. K.,
Strimaitis P. J.
Publication year - 1996
Publication title -
developments in chemical engineering and mineral processing
Language(s) - English
Resource type - Journals
eISSN - 1932-2143
pISSN - 0969-1855
DOI - 10.1002/apj.5500040107
Subject(s) - safer , process (computing) , variety (cybernetics) , outcome (game theory) , computer science , range (aeronautics) , risk analysis (engineering) , control engineering , process management , engineering , operations research , systems engineering , artificial intelligence , computer security , operating system , mathematics , medicine , mathematical economics , aerospace engineering
Complex processing plants are operated (and for that matter designed) by individuals who cannot always envisage in sufficient detail the longer‐range consequences of their current actions. This is particularly the case where interactions can occur between sequential operating modes of a plant. Given that the desired outcome is the achievement of the overall process goals safely and efficiently, it is worthwhile considering the factors which can mitigate against the achievement of these aims and how they can be avoided. This study describes methods which can be used to help develop safer and more efficient plant operation by the use of the computer to devise operating command sequences which achieve consecutive sets of process goals subject to a variety of constraints (e.g. the avoidance of unsafe states). The operating command sequences are required to be generated in the form of a sequence of valve operations. A catalyst‐regeneration plant example originally devised by Rivas and Rudd (1974) is presented.