Skip to main content
SpringerLink
Log in
Book cover

Proceedings of the International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) pp 83–91Cite as

A Noble Fuzzy Self-Tuning Scheme for Conventional PI Controller

  • Conference paper

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 199))

Abstract

In this study, we propose an improved auto-tuning PI controller. The widely practiced Ziegler-Nichols tuned PI controller (ZNPIC) exhibits poor performance for nonlinear and high-order systems. In order to have an overall improved transient response, the proportional constant of the proposed PI controller is parameterized by a real-time nonlinear updating factor ( depending on the process trend. The value of ( is determined through a fuzzy inference engine with 49 if-then rules defined on the process error and change of error. Performance of the proposed fuzzy self-tuning ZNPIC, termed as FST-ZNPIC, is tested for second-order linear and nonlinear dead time processes including a marginally stable system under both set point change and load disturbance. Simulation results reveal our FST-ZNPIC provides significantly improved transient responses compared to other conventional and fuzzy self-tuning controllers. Robustness of FST-ZNPIC is observed with a considerable change in process dead time.

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

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Shinsky, F.G.: Process control systems — application, design, and tuning. McGraw-Hill, New York (1998)

    Google Scholar 

  2. Astrom, K.J., Hang, C.C., Person, P., Ho, W.K.: Towards intelligent PID control. Automatica 28(1), 1–9 (1992)

    Article  Google Scholar 

  3. Panda, S.K., Lim, J.M.S., Dash, P.K., Lock, K.S.: Gain scheduled PI speed controller for PMSM Drive. In: Proc. IEEE Industrial Electronics Society International Conference, IECON 1997, vol. 2, pp. 925–930 (1997)

    Google Scholar 

  4. Seborg, D.E., Edgar, T.F.: Adaptive control strategies for process control: A survey. AICHE J. 32(6), 881–913 (1986)

    Article  Google Scholar 

  5. Kristiansson, B., Lennartson, B.: Robust and optimal tuning of PI and PID controllers. IEE Proc. Control Theory Appl. 149(1), 17–25 (2002)

    Article  Google Scholar 

  6. Tursini, M., Parasiliti, F., Zhang, D.: Real time gain tuning of PI controllers for high performance PMSM drives. IEEE Trans. Industry Appl. 38(4), 1018–1026 (2002)

    Article  Google Scholar 

  7. Mudi, R.K., Dey, C., Lee, T.T.: An improved auto-tuning scheme for PI controllers. ISA Trans. Actions 47(1), 45–52 (2008)

    Article  Google Scholar 

  8. Dey, C., Mudi, R.K.: An improved auto-tuning scheme for PID controllers. ISA Transactions 48(4), 396–409 (2009)

    Article  Google Scholar 

  9. Hang, C.C., Cao, L.: Improvement of transient response by means of variable set-point weighting. IEEE Trans. Industrial Electronics 43(4), 477–484 (1996)

    Article  Google Scholar 

  10. Dey, C., Mudi, R.K., Lee, T.T.: Dynamic set-point weighted PID controller. Control Intelligent Sys. 37(4), 212–219 (2010)

    Google Scholar 

  11. Mudi, R.K., Dey, C.: Performance improvement of PI controllers through dynamic set-point weighting. ISA Transactions 50(2), 220–230 (2011)

    Article  Google Scholar 

  12. Visioli, A.: Fuzzy logic based set-point weight tuning of PID controllers. IEEE Trans. Sys. Man Cyb. 29(6), 587–592 (1999)

    Article  Google Scholar 

  13. He, S.Z., Tan, S., Xu, F.L., Wang, P.Z.: Fuzzy Self-Tuning of PID Controller. Fuzzy Sets and Syst. 56(1), 37–46 (1993)

    Article  MathSciNet  Google Scholar 

  14. Maeda, M., Murakami, S.: A Self-Tuning Fuzzy Controller. Fuzzy Sets and Syst. 51(1), 29–40 (1992)

    Article  MathSciNet  Google Scholar 

  15. Ziegler, J.G., Nichols, N.B.: Optimum settings for automatic controllers. ASME Trans. 64, 759–768 (1942)

    Google Scholar 

  16. Mudi, R.K., Pal, N.R.: A robust self-tuning scheme for PI and PD type fuzzy controllers. IEEE Trans. Fuzzy Syst. 7(1), 2–16 (1999)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Dept of I.E.E., Jadavpur University, Salt-lake Campus, Kolkata, India

    Rajani K. Mudi

  2. Dept of E.I.E, Dr. B.C. Roy Engg College, Durgapur, India

    Ritu Rani De Maity

Authors
  1. Rajani K. Mudi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ritu Rani De Maity
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Rajani K. Mudi .

Editor information

Editors and Affiliations

  1. Dept of Computer Science Engineering, Anil Neerukonda Institute of Technology and Sciences, Vishakapatnam, India

    Suresh Chandra Satapathy

  2. AI Lab, University of Hyderabad, Hyderabad, India

    Siba K. Udgata

  3. Bhubaneswar Engineering College, Bhubaneswar, India

    Bhabendra Narayan Biswal

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Mudi, R.K., De Maity, R.R. (2013). A Noble Fuzzy Self-Tuning Scheme for Conventional PI Controller. In: Satapathy, S., Udgata, S., Biswal, B. (eds) Proceedings of the International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA). Advances in Intelligent Systems and Computing, vol 199. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35314-7_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-35314-7_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35313-0

  • Online ISBN: 978-3-642-35314-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation