Chapter 7. Automatic Bioprocess Control Fundamentals

  1. Dr. Irving J. Dunn1,
  2. Professor Dr. Elmar Heinzle2,
  3. Dr. John Ingham3,
  4. Dr. Jiří E. Přenosil1

Published Online: 28 JAN 2005

DOI: 10.1002/3527603050.ch7

Biological Reaction Engineering: Dynamic Modelling Fundamentals with Simulation Examples, Second Edition

Biological Reaction Engineering: Dynamic Modelling Fundamentals with Simulation Examples, Second Edition

How to Cite

Dunn, I. J., Heinzle, E., Ingham, J. and Přenosil, J. E. (2005) Automatic Bioprocess Control Fundamentals, in Biological Reaction Engineering: Dynamic Modelling Fundamentals with Simulation Examples, Second Edition, Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim, FRG. doi: 10.1002/3527603050.ch7

Author Information

  1. 1

    ETH Zürich, Department of Chemical Engineering, CH-8092 Zürich, Switzerland

  2. 2

    University of Saarland, Department of Technical Biochemistry, P.O. Box 15 11 50, D-66041 Saarbrücken, Germany

  3. 3

    University of Bradford, Department of Chemical Engeering, Bradford BD7 1DP, United Kingdom

Publication History

  1. Published Online: 28 JAN 2005
  2. Published Print: 25 JUN 2003

ISBN Information

Print ISBN: 9783527307593

Online ISBN: 9783527603053

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Keywords:

  • biological reaction engineering;
  • automatic bioprocess control fundamentals;
  • feedback control;
  • types of controller action;
  • controller tuning;
  • advanced control strategies;
  • concepts for bioprocess control

Summary

This chapter contains sections titled:

  • Elements of Feedback Control

  • Types of Controller Action

    • On-Off Control

    • Proportional (P) Controller

    • Proportional-Integral (PI) Controller

    • Proportional-Derivative (PD) Controller

    • Proportional-Integral-Derivative (PID) Controller

  • Controller Tuning

    • Trial and Error Method

    • Ziegler-Nichols Method

    • Cohen-Coon Controller Settings

    • Ultimate Gain Method

  • Advanced Control Strategies

    • Cascade Control

    • Feed forward Control

    • Adaptive Control

    • Sampled-Data Control Systems

  • Concepts For Bioprocess Control

    • Selection of a Control Strategy

    • Methods of Designing and Testing the Strategy