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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/5658

Title: Model based robust control approach for batch crystallization product design
Authors: Nagy, Zoltan K.
Keywords: Crystallization control
Batch nonlinear model predictive control
Robust optimal control
Population balance model
Distribution shaping control
Quadrature method of moments
Method of characteristics
Issue Date: 2009
Publisher: © Elsevier
Citation: NAGY, Z.K., 2009. Model based robust control approach for batch crystallization product design. Computers and Chemical Engineering, 33 (10), pp.1685-1691.
Abstract: The paper presents a novel control approach for crystallization processes, which can be used for designing the shape of the crystal size distribution to robustly achieve desired product properties. The approach is based on a robust optimal control scheme, which takes parametric uncertainties into account to provide decreased batch-to-batch variability of the shape of the crystal size distribution. Both open-loop and closed loop robust control schemes are evaluated. The open-loop approach is based on a robust end-point nonlinear model predictive control (NMPC) scheme which is implemented in a hierarchical structure. On the lower level a supersaturation control approach is used that drives the system in the phase diagram according to a concentration versus temperature trajectory. On the higher level a robust model-based optimization algorithm adapts the setpoint of the supersaturation controller to counteract the effects of changing operating conditions. The process is modelled using the population balance equation (PBE), which is solved using a novel efficient approach that combines the quadrature method of moment (QMOM) and method of characteristics (MOC). The proposed robust model based control approach is corroborated for the case of various desired shapes of the target distribution.
Description: This article was published in the journal, Computers and Chemical Engineering [© Elsevier] and the definitive version is available at: www.elsevier.com/locate/compchemeng
Version: Accepted for publication
DOI: 0.1016/j.compchemeng.2009.04.012
URI: https://dspace.lboro.ac.uk/2134/5658
ISBN: 0098-1354
Appears in Collections:Published Articles (Chemical Engineering)

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