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Identification and Control of an Industrial Binary Distillation Column: A Case Study
Author(s) -
Defranoux C.,
Garnier H.,
Sibille P.
Publication year - 2000
Publication title -
chemical engineering and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.403
H-Index - 81
eISSN - 1521-4125
pISSN - 0930-7516
DOI - 10.1002/1521-4125(200009)23:9<745::aid-ceat745>3.0.co;2-9
Subject(s) - fractionating column , distillation , identification (biology) , column (typography) , model predictive control , binary number , process engineering , process control , process (computing) , control (management) , engineering , computer science , chemistry , chromatography , mathematics , artificial intelligence , mechanical engineering , connection (principal bundle) , botany , arithmetic , biology , operating system
The challenging problem of identification and control of an industrial binary distillation column is addressed in this paper. Process identification represents an alternative to modeling and is shown to be the appropriate procedure for predictive control design. The predictive controllers based on the identified model ensure stability and high performance for a wide operating range of the industrial distillation column.