Numerical Methods for Optimal Boundary Control of Advection-Diffusion-Reaction Systems

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Abstract

This paper considers the optimal boundary control of chemical systems described by advection-diffusion-reaction (ADR) equations. We use a discontinuous Galerkin finite element method (DG-FEM) for the spatial discretization of the governing partial differential equations, and the optimal control problem is directly discretized using multiple shooting. The temporal discretization and the corresponding sensitivity calculations are achieved by an explicit singly diagonally-implicit Runge Kutta (ESDIRK) method. ADR systems arise in process systems engineering and their operation can potentially be improved by nonlinear model predictive control (NMPC). We demonstrate a numerical approach for the solution to their optimal control problems (OCPs) in a chromatography case study. Preparative liquid chromatography is an important downstream process in biopharmaceutical manufacturing. We show that multi-step elution trajectories for batch processes can be optimized for economic objectives, providing superior performance compared to classical gradient elution trajectories.

Original languageEnglish
Book seriesIFAC-PapersOnLine
Volume58
Issue number18
Pages (from-to)288-295
ISSN2405-8971
DOIs
Publication statusPublished - 2024

Keywords

  • Advection-diffusion-reaction systems
  • Chromatography
  • Numerical optimal control

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