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Linear Feedback Control

  • Jean-Pierre Corriou
Chapter

Abstract

The by far most used control method in industry is the proportional-integral-derivative or PID controller. It is currently claimed that 90 to 95% of industrial problems can be solved by this type of controller, which is easily available as an electronic module. It allies an apparent simplicity of understanding and a generally satisfactory performance. It is based on a quasi-natural principle which consists of acting on the process according to the error between the set point and the measured output. Indeed, along the chapters of this first part, it will appear that numerous variants of PID exist and that improvements can often be brought either by better tuning or by a different configuration.

Keywords

Transfer Function Open Loop Integral Action Derivative Action Linear Feedback Control 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. D. M. Considine, editor. Process/Industrial Instruments and Controls Handbook. McGraw-Hill, New York, 5th edition, 1999.Google Scholar
  2. T. E. Marlin. Process Control. Designing Processes and Control Systems for Dynamic Performance. McGraw-Hill, Boston, 2000.Google Scholar
  3. N. Midoux. Mécanique et Rhéologie des Fluides en Génie Chimique. Lavoisier, Paris, 1985.Google Scholar
  4. D. E. Seborg, T.F. Edgar, and D.A. Mellichamp. Process Dynamics and Control. Wiley, New York, 1989.Google Scholar
  5. P. Thomas. Simulation of Industrial Processes for Control Engineers. Butterworth-Heinemann, Oxford, 1999.Google Scholar

Copyright information

© Springer-Verlag London 2004

Authors and Affiliations

  • Jean-Pierre Corriou
    • 1
  1. 1.Laboratoire des Sciences du Génie Chimique, Ecole Nationale Supérieure des Industries ChimiquesLSGC-CNRS-ENSICNancy CedexFrance

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