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Modelling and self‐adjusting control of an absorption column
Author(s) -
Najim K.
Publication year - 1991
Publication title -
international journal of adaptive control and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 66
eISSN - 1099-1115
pISSN - 0890-6327
DOI - 10.1002/acs.4480050504
Subject(s) - diethanolamine , absorption (acoustics) , limit (mathematics) , controller (irrigation) , column (typography) , partial differential equation , control theory (sociology) , optimal control , mathematics , computer science , mathematical optimization , control (management) , materials science , engineering , mathematical analysis , chemical engineering , agronomy , geometry , connection (principal bundle) , artificial intelligence , composite material , biology
This paper describes the model and solution of the constrained optimal control problem associated with a packed absorption column. The control problem is solved using a learning automaton operating in a random environment. On the basis of physical and chemical laws, a model has been developed. It consists of three hyperbolic partial non‐linear differential equations. A solution of diethanolamine (the absorbent) is used to absorb the CO 2 contained in a gas mixture. The primary manipulated variables are the flow rate of the absorbent and the concentration of CO 2 in the gas mixture. The control objective is to maintain the concentration of CO 2 close to a desired value, subject to control limit restriction, in order to avoid the flooding of the column. It leads to a stochastic programming problem, the solution of which is closely associated with the behaviour of an automaton in a random environment corresponding to the column. Detailed computer simulation results which demonstrate the performance of this automaton controller are presented