A systematic approach to SMB process model identification from SMB process data
| Authors: | Grofils Valerie, Université Libre de Bruxelles, Belgium
Levrie Caroline, Faculté Polytechnique de Mons, Belgium
Kinnaert Michel, Université Libre de Bruxelles, Belgium
Vande Wouwer Alain, Faculté Polytechnique de Mons, Belgium |
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| Topic: | 8.4 Control of Biotechnological Processes |
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| Session: | Control of Biotechnological Processes |
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| Keywords: | Chemical industry, Parameter identification, Identifiability, Sensitivity analysis, Error estimation, Covariance matrix |
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Abstract
The simulated moving bed process is a continuous chromatographic separation process, which is important in various fields, from sugar to enantiomer separation. In this paper, a systematic approach to parameter identification of a kinetic SMB model is presented. In contrast to previous studies, identifiability and the influence of local minima are investigated from fictitious data obtained by simulation of different SMB processes at various operating conditions.
