Determining SMB Superstructures by Mixed-Integer Optimal Control

Sebastian Sager (), Moritz Diehl, Gundeep Singh, Achim Küpper and Sebastian Engell
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Sebastian Sager: Universität Heidelberg
Moritz Diehl: K.U. Leuven
Gundeep Singh: IIT Guwahati
Achim Küpper: Universität Dortmund
Sebastian Engell: Universität Dortmund

A chapter in Operations Research Proceedings 2006, 2007, pp 37-42 from Springer

Abstract: Abstract We treat a simplified model of a Simulated Moving Bed (SMB) chromatographic separation process that contains time-dependent discrete decisions. SMB processes have been gaining increased attention lately, see [3], [4] for further references. The related optimization problems are challenging from a mathematical point of view, as they combine periodic nonlinear optimal control problems in partial differential equations (PDE) with time-dependent discrete decisions. For this problem class of mixed-integer optimal control problems (MIOCP) a novel numerical method, developed in [5], is applied.

Keywords: Optimal Control Problem; Sequential Quadratic Programming; Related Optimization Problem; Axial Convection; Direct Multiple Shooting (search for similar items in EconPapers)
Date: 2007
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DOI: 10.1007/978-3-540-69995-8_6

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