Volume 40, Issue 7 pp. 1362-1369
Research Article

Control of Continuous Mixed-Solution Mixed-Product Removal Crystallization Processes

Rostyslav Geyyer

Corresponding Author

Rostyslav Geyyer

Otto-von-Guericke University, Universitaetsplatz 2, 39106 Magdeburg, Germany

Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstrasse 1, 39106 Magdeburg, Germany

Correspondence: Rostyslav Geyyer ([email protected]), Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstrasse 1, 39106 Magdeburg, Germany.Search for more papers by this author
Robert Dürr

Robert Dürr

KU Leuven, Bio- & Chemical Systems Technology, Reactor Engineering and Safety Section, Celestijnenlaan 200f – Box 2424, 3001 Leuven, Belgium

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Erik Temmel

Erik Temmel

Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstrasse 1, 39106 Magdeburg, Germany

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Tao Li

Tao Li

Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstrasse 1, 39106 Magdeburg, Germany

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Heike Lorenz

Heike Lorenz

Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstrasse 1, 39106 Magdeburg, Germany

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Stefan Palis

Stefan Palis

Otto-von-Guericke University, Universitaetsplatz 2, 39106 Magdeburg, Germany

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Andreas Seidel-Morgenstern

Andreas Seidel-Morgenstern

Otto-von-Guericke University, Universitaetsplatz 2, 39106 Magdeburg, Germany

Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstrasse 1, 39106 Magdeburg, Germany

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Achim Kienle

Achim Kienle

Otto-von-Guericke University, Universitaetsplatz 2, 39106 Magdeburg, Germany

Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstrasse 1, 39106 Magdeburg, Germany

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First published: 16 May 2017
Citations: 6

Abstract

Continuous mixed-solution mixed-product removal (MSMPR) crystallization is considered. This process has been studied well, however, different aspects, in particular, process modeling, monitoring, and control remain challenging. An innovative approach for online measurement of the crystal size distribution is presented. Furthermore, unscented Kalman filtering is applied to overcome biased concentration measurement. Finally, a discrepancy-based control is applied to continuous MSMPR crystallization and its closed-loop performance is evaluated.

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