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Determining SMB Superstructures by Mixed-Integer Optimal Control

In: Operations Research Proceedings 2006

Author

Listed:
  • Sebastian Sager

    (Universität Heidelberg)

  • Moritz Diehl

    (K.U. Leuven)

  • Gundeep Singh

    (IIT Guwahati)

  • Achim Küpper

    (Universität Dortmund)

  • Sebastian Engell

    (Universität Dortmund)

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.

Suggested Citation

  • Sebastian Sager & Moritz Diehl & Gundeep Singh & Achim Küpper & Sebastian Engell, 2007. "Determining SMB Superstructures by Mixed-Integer Optimal Control," Operations Research Proceedings, in: Karl-Heinz Waldmann & Ulrike M. Stocker (ed.), Operations Research Proceedings 2006, pages 37-42, Springer.
    • Handle: RePEc:spr:oprchp:978-3-540-69995-8_6
    DOI: 10.1007/978-3-540-69995-8_6
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