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Advanced control of a continuous oscillatory flow crystalliser

By Tahir, F; Krzemieniewska-Nandwani, KMack, J; Lovett, D; Siddique, H; Mabbott, F; Raval, V; Houson, I; Florence, A

View Resource (DOI)

Category

Peer-reviewed journal

Published on

Abstract

This paper presents the application and challenges of achieving Model Predictive Control (MPC) on two continuous oscillatory baffled crystallisation reactors, delivering precise product quality control in the face of raw material fluctuations. A key advantage of MPC is that it effectively deals with multivariable interactions and constraints that appear within the continuous crystallisation process. Using a flexible real-time software package, a control scheme is proposed that incorporates three MPC blocks for controlling reactor cooling profile, API (Active Pharmaceutical Ingredient) concentration and crystal size distribution, respectively. Furthermore, the solution is customisable and transferable to different crystallisation reactors as well as various APIs. (C) 2017 Elsevier Ltd. All rights reserved.

Journal

Control Engineering Practice. Volume 67, 2017, 64-75

DOI

10.1016/j.conengprac.2017.07.008

Type of publication

Peer-reviewed journal

Affiliations

  • Percept Engineering Ltd
  • Manchester Metropolitan University
  • University of Strathclyde

Article Classification

Research Article

Classification Areas

  • API
  • Control

Tags

  1. API
  2. Calibration models
  3. Continuous crystallisation
  4. Control
  5. Crystal PSD
  6. Model predictive control
  7. Research Article
  8. Super-saturation control