Skip to main content

Part of the book series: Lecture Notes in Economics and Mathematical Systems ((LNE,volume 93))

Summary

An implementation of a self-tuning regulator is described. The regulator algorithm consists of two steps. Firstly the parameters of a model of the process are estimated in real time using the method of least squares. Secondly a minimum variance regulator based on the estimated parameters is computed at each sampling interval. Implementation of the algorithm on a process computer is discussed. Questions concerning program structure and storage requirements are considered. Results from the moisture content control on a paper machine are presented. The experiences are very good concerning the start-up behaviour as well as the stationary behaviour of the self-tuning regulator.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Alsholm O, Hempel A, Morsk B, Sangregorio G: Process and Production Control Package, 2nd IFAC Conference on Instrumentation and Automation in the Paper, Rubber and Plastics Industries, Brussels, May, 1971.

    Google Scholar 

  • Borisson U, Syding R: Control of an Ore Crusher - A Feasibility Study of Self-Tuning Control and Remote Processing, Report 7318, Division of Automatic Control, Lund Institute of Technology (1973).

    Google Scholar 

  • Cegrell T, Hedqvist T: Successful Adaptive Control of Paper-machines, Paper PV-2, Preprints of the 3rd IFAC Symposium on Identification and System Parameter Estimation, The Hague, June 1973.

    Google Scholar 

  • Saridis G N, Dao T K: A Learning Approach to the Parameter-Adaptive Self-Organizing Control Problem, Automatica, 8, 589–597 (1972).

    Article  MATH  Google Scholar 

  • Tse E, Athans M: Adaptive Stochastic Control for a Class of Linear Systems, IEEE T-AC, 17, 38–51 (1972).

    Article  MathSciNet  MATH  Google Scholar 

  • Wittenmark B: A Self-Tuning Regulator, Report 7311, Division of Automatic Control, Lund Institute of Technology (1973).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1974 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Borisson, U., Wittenmark, B. (1974). An Industrial Application of a Self-Tuning Regulator. In: Mansour, M., Schaufelberger, W. (eds) 4th IFAC/IFIP International Conference on Digital Computer Applications to Process Control. Lecture Notes in Economics and Mathematical Systems, vol 93. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-65796-2_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-65796-2_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-06620-0

  • Online ISBN: 978-3-642-65796-2

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics