Skip to main content

Part of the book series: Advances in Industrial Control ((AIC))

  • 1995 Accesses

Abstract

Since a control loop may exhibit poor performance for various reasons, it is not only important to detect poor performance, but the challenge is to trace the bad performance to its root cause. Not only controller design and tuning but also other elements in the control systems, such as sensors and actuators, are often responsible for the poor performance. There are many reasons for poor control performance, which can be detected using specialised methods and indices, without requiring the knowledge of time delays or model identification. Attempt of this chapter to review and suggest procedures for semi- or fully automatic detection of oscillating control loops. For each method described, the basic assumptions, limitations, strengths and weaknesses will be clearly stated. The parameterisation of the methods is thoroughly discussed to give default settings for real applications. Industrial examples from different industrial fields (chemicals, refining, petro-chemicals, pulp & paper, mining, mineral and metal processing) are presented throughout the chapters to demonstrate the applicability of the methods.

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 149.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 199.99
Price excludes VAT (USA)
  • Durable hardcover 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

Notes

  1. 1.

    US Patent #5,719,788 (1998).

References

  • Box GEP, Jenkins GM, Reinsel GC (1994) Time series analysis: forcasting and control. Prentice Hall, New York

    Google Scholar 

  • Choudhury MAAS, Shah SL, Thornhill NF (2008) Diagnosis of process nonlinearities and valve stiction—data driven approaches. Springer, London

    MATH  Google Scholar 

  • Forsman K, Stattin A (1999) A new criterion for detecting oscillations in control loops. In: Proc Europ control confer, Karlsruhe, Germany

    Google Scholar 

  • Hägglund T (1995) A control-loop performance monitor. Control Eng Pract 3:1543–1551

    Article  Google Scholar 

  • Horch A (2000) Condition monitoring of control loops. PhD thesis, Royal Institute of Technology, Stockholm, Sweden

    Google Scholar 

  • Horch A (2007) Benchmarking control loops with oscillations and stiction. In: Ordys AW, Uduehi D, Johnson MA (eds) Process control performance assessment. Springer, Berlin, pp 227–257

    Chapter  Google Scholar 

  • Kaiser G (1994) A friendly guide to wavelets. Birkhäuser, Basel

    MATH  Google Scholar 

  • Matsuo T, Tadakuma I, Thornhill NF (2004) Diagnosis of a unit-wide disturbance caused by saturation in manipulated variable. In: Proc IEEE advanced process control applications for industry workshop, Vancouver, Canada

    Google Scholar 

  • Miao T, Seborg DE (1999) Automatic detection of excessively oscillatory feedback control loops. In: Proc IEEE confer control applications. Kohala Coast-Island, USA

    Google Scholar 

  • Press WH, Flannery BP, Teukolsky SA, Vetterling WT (1986) Numerical recipes. Cambridge University Press, Cambridge

    Google Scholar 

  • Salsbury TI (2006) Control performance assessment for building automation systems. In: IFAC workshop on energy saving control in plants and buildings, Bulgaria

    Google Scholar 

  • Singhal A, Salsbury TI (2005) A simple method for detecting valve stiction in oscillating control loops. J Process Control 15:371–382

    Article  Google Scholar 

  • Thornhill NF, Hägglund T (1997) Detection and diagnosis of oscillation in control loops. Control Eng Pract 5:1343–1354

    Article  Google Scholar 

  • Thornhill NF, Horch A (2007) Advances and new directions in plant-wide disturbance detection and diagnosis. Control Eng Pract 15:1196–1206

    Article  Google Scholar 

  • Thornhill NF, Cox J, Paulonis M (2003a) Diagnosis of plant-wide oscillation through data-driven analysis and process understanding. Control Eng Pract 11:1481–1490

    Article  Google Scholar 

  • Thornhill NF, Huang B, Shah SL (2003b) Controller performance assessment in set point tracking and regulatory control. Int J Adapt Control Signal Process 17:709–727

    Article  MATH  Google Scholar 

  • Thornhill NF, Huang B, Zhang H (2003c) Detection of multiple oscillations in control loops. J Process Control 13:91–100

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag London

About this chapter

Cite this chapter

Jelali, M. (2013). Detection of Oscillating Control Loops. In: Control Performance Management in Industrial Automation. Advances in Industrial Control. Springer, London. https://doi.org/10.1007/978-1-4471-4546-2_9

Download citation

  • DOI: https://doi.org/10.1007/978-1-4471-4546-2_9

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-4545-5

  • Online ISBN: 978-1-4471-4546-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics