Model-based design of a plant-wide control strategy for a continuous pharmaceutical plant

Authors

  • Richard Lakerveld,

    1. Dept. of Chemical Engineering, Process Systems Engineering Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139
    Search for more papers by this author
  • Brahim Benyahia,

    1. Dept. of Chemical Engineering, Process Systems Engineering Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139
    Search for more papers by this author
  • Richard D. Braatz,

    1. Dept. of Chemical Engineering, Process Systems Engineering Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139
    Search for more papers by this author
  • Paul I. Barton

    Corresponding author
    1. Dept. of Chemical Engineering, Process Systems Engineering Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139
    • Correspondence concerning this article should be addressed to P. I. Barton at pib@mit.edu.

    Search for more papers by this author

Abstract

The design of an effective plant-wide control strategy is a key challenge for the development of future continuous pharmaceutical processes. This article presents a case study for the design of a plant-wide control structure for a system inspired by an end-to-end continuous pharmaceutical pilot plant. A hierarchical decomposition strategy is used to classify control objectives. A plant-wide dynamic model of the process is used to generate parametric sensitivities, which provide a basis for the synthesis of control loops. Simulations for selected disturbances illustrate that the critical quality attributes (CQAs) of the final product can be kept close to specification in the presence of significant and persistent disturbances. Furthermore, it is illustrated how selected CQAs of the final product can be brought simultaneously to a new setpoint while maintaining the remaining CQAs at a constant value during this transition. The latter result shows flexibility to control CQAs independently of each other. © 2013 American Institute of Chemical Engineers AIChE J, 59: 3671–3685, 2013

Ancillary