Present Status of Automation for Industrial Bioprocesses

R. Hausmann, M. Henkel, F. Hecker, B. Hitzmann

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

8 Scopus citations

Abstract

The pharmaceutical biotechnology, industrial biotechnology, and the food industries have been introduced to the Process Analytical Technology (PAT) initiative of the US Food and Drug Administration. The PAT, which is regarded as a milestone in the guidelines to efficient process control aims for sustained productivity and controlled batch-to-batch quality of products by measuring quality-related process variables. This is facilitated by a deeper understanding of the process and interconnection of process variables. Associated with deeper knowledge, the grade of automation may potentially be increased. In this chapter the fundamentals of automation, which are sensors, actuators, and open-loop and closed-loop control applications, are discussed for industrial bioprocesses. Because of the diversity of different bioprocesses and the different levels of knowledge about them, different approaches to automation have been used. Most applied systems are hybrid, combining different measurement techniques with various control methods. Soft sensors based on spectrometric measurements combined with proportional, integral or proportional, integral, derivative control are used most frequently. However application using Kalman filters and artificial neural networks for monitoring and heuristic control, fuzzy control, and model-predictive control are discussed in this chapter.

Original languageEnglish
Title of host publicationCurrent Developments in Biotechnology and Bioengineering
Subtitle of host publicationBioprocesses, Bioreactors and Controls
PublisherElsevier Inc.
Pages725-757
Number of pages33
ISBN (Electronic)9780444636744
ISBN (Print)9780444636638
DOIs
StatePublished - 2017
Externally publishedYes

Keywords

  • Bioprocess
  • Control
  • Cultivation
  • Fuzzy control
  • Kalman filter
  • Measurement
  • Monitoring
  • Neural networks

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