Skip to main content

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

  • 1973 Accesses

Abstract

The final and most challenging objective of applying performance assessment methods and indices should always be to suggest measures to improve the control or process/plant performance. Even in the case where the loop is found to work at acceptable performance level, it is useful to know how the performance can be improved to attain top level. In this chapter, possible performance improvement measures are briefly discussed. Some paradigms and strategies for monitoring the performance of complex process-control systems are introduced. A comprehensive control-performance assessment procedure is proposed combining different methods described throughout the previous chapters of the book.

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

References

  • Åström KJ, Hägglund T (2006) Advanced PID control. ISA, Research Triangle Park

    Google Scholar 

  • Åström KJ, Wittenmark P (1995) Adaptive control. Addison-Wesley, Reading

    MATH  Google Scholar 

  • Åström KJ, Wittenmark P (1997) Computer controlled systems: theory and design. Prentice Hall, New York

    Google Scholar 

  • Camacho EF, Bordons C (1999) Model predictive control. Springer, Berlin

    Book  Google Scholar 

  • Farenzena M, Trierweiler JO (2006) Variability matrix: a new tool to improve the plant performance. In: Proc IFAC ADCHEM, Gramado, Brazil, pp 893–898

    Google Scholar 

  • Glattfelder AH, Schaufelberger W (2003) Control systems with input and output constraints. Springer, Berlin

    Book  MATH  Google Scholar 

  • Goodwin GC, Graebe SF, Salgado ME (2001) Control system design. Prentice Hall, New York

    Google Scholar 

  • Hugo AJ (1999) Process controller performance monitoring and assessment. www.controlartsinc.com/Support/Articles/PerformanceAssessment.PDF

  • Isermann R, Lachman KH, Matko D (1992) Adaptive control systems. Prentice Hall, New York

    MATH  Google Scholar 

  • Kozub DJ (1996) Controller performance monitoring and diagnosis: experiences and challenges. In: Proc chemical process control confer, Lake Tahoe, USA, pp 83–96

    Google Scholar 

  • Lunze J (2008) Regelungstechnik 2: Mehrgrößensysteme, Digitale Regelung. Springer, Berlin

    MATH  Google Scholar 

  • Maciejowski JM (2001) Predictive control with constraints. Prentice Hall, New York

    MATH  Google Scholar 

  • Morari M, Zafiriou E (1989) Robust process control. Prentice Hall, New York

    Google Scholar 

  • Ogawa S (1998) A data analysis and graphical representation system for control loop performance assessment. In: Proc TAPPI process control confer, Vancouver, Canada

    Google Scholar 

  • Rugh WJ (1991) Analytical framework for gain scheduling. IEEE Control Syst Mag 11:79–84

    Article  Google Scholar 

  • Seborg DE, Edgar TF, Mellichamp DA (2004) Process dynamics and control. Wiley, New York

    Google Scholar 

  • Shinskey FG (1996) Process-control systems: application, design, and tuning. McGraw Hill, New York

    Google Scholar 

  • Smith OJM (1957) Closed control of loops with dead time. Chem Eng Prog 53:217–219

    Google Scholar 

  • Skogestad S, Postlethwaite I (1996) Multivariable feedback control: analysis and design. Wiley, New York

    Google Scholar 

  • Stanfelj N, Marlin TE, MacGregor JF (1993) Monitoring and diagnosis of process control performance: the single-loop case. Ind Eng Chem Res 67:856–861

    Google Scholar 

  • Vatanski N, Jämsä-Jounela S-L, Rantala A, Harju T (2005) Control loop performance measures in the evaluation of process economics. In: Proc IFCA world congress, Prague

    Google Scholar 

  • Visioli A (2006) Practical PID control. Springer, Berlin

    MATH  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). Performance Monitoring and Improvement Strategies. In: Control Performance Management in Industrial Automation. Advances in Industrial Control. Springer, London. https://doi.org/10.1007/978-1-4471-4546-2_13

Download citation

  • DOI: https://doi.org/10.1007/978-1-4471-4546-2_13

  • 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