Dynamics of a True Moving Bed separation process: Linear model identification and advanced process control

Idelfonso B.R. Nogueira, Ana M. Ribeiro, Márcio A.F. Martins, Alírio E. Rodrigues, Hannu Koivisto, José M. Loureiro

    Research output: Contribution to journalArticleScientificpeer-review

    9 Citations (Scopus)


    The control of Simulated Moving Bed (SMB) units is challenging due to their complex dynamic behaviour and the difficulty of measuring their main properties. Furthermore, for the SMB units, the transfer function identification when the unit is operating at its optimal point is not easy to be done through the usual way. This work presents the development of a novel strategy to identify transfer functions of TMB/SMB and its application on classical linear model predictive controllers (MPC). However, for the process in study, due its unique dynamics, only the identification of the linear model is not enough to solve its control problem. Therefore, it is proposed a modification in the MPC prediction, that consists in a strategy based on a switching system where the most adequate transfer function is employed in the controller to overcome the problems related with the process dynamic behaviour. The results show that the used methodology enables the easy identification of transfer functions at the process optimal operating point and that the MPC can control the process in both the servo and regulator problem cases. It is also showed that the transfer function identified can be applied in the control of a SMB unit with four columns, under its optimal conditions.

    Original languageEnglish
    JournalJournal of Chromatography A
    Publication statusPublished - 30 Jun 2017
    Publication typeA1 Journal article-refereed


    • Enantiomers separation
    • Model predictive control
    • Process transfer function
    • Simulated moving bed

    Publication forum classification

    • Publication forum level 1

    ASJC Scopus subject areas

    • Analytical Chemistry
    • Biochemistry
    • Organic Chemistry

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