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Multilevel learning control of an absorption column
Author(s) -
Najim K.,
Chtourou M.
Publication year - 1991
Publication title -
optimal control applications and methods
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.458
H-Index - 44
eISSN - 1099-1514
pISSN - 0143-2087
DOI - 10.1002/oca.4660120306
Subject(s) - diethanolamine , absorption (acoustics) , column (typography) , packed bed , process (computing) , controller (irrigation) , mass transfer , computer science , control system , process engineering , materials science , control theory (sociology) , control (management) , chemistry , chromatography , chemical engineering , engineering , artificial intelligence , telecommunications , agronomy , electrical engineering , frame (networking) , composite material , biology , operating system
This paper describes the modelling and learning control of a packed absorption column. The packed column is the most popular equipment used for process absorption. The absorption column is used to reduce the concentration of CO 2 in a gas mixture to a desired value. A solution of diethanolamine (DEA) is used as the absorbent. The flow rate of the absorbent and the concentration of CO 2 in the gas mixture are considered as control and controlled variables respectively. The process model has been developed from considerations of mass balances, transport phenomena and the chemical reaction in the liquid phase. A learning controller using a hierarchical structure of automata is used to achieve control of the column. The learning system is connected in a feedback manner with the column, which plays the role of the random medium where the learning system operates. Several simulation studies highlight the applicability of the learning control algorithm involved.