Skip to main content
SpringerLink
Log in

A Gain Adaptive Fuzzy Logic Controller

  • Conference paper
  • First Online:
Advances in Soft Computing — AFSS 2002 (AFSS 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2275))

Included in the following conference series:

Abstract

We propose a PI-type gain adaptive fuzzy logic controller (GAFLC). Input scaling factors (SFs) of the GA-FLC for error (e) and change of error (Δe) are updated on-line, by a single non-linear parameter computed through a unipolar sigmoid function defined on the current process states (e and Δe). The performance of the proposed GA-FLC for step set-point change and load disturbance is compared with those of a conventional PI-type FLC (FPIC) and a Ziegler-Nichols tuned (ZN-tuned) non-fuzzy PI-controller (NFPIC). Results for various higher order processes show that GA-FLC provides much improved performance over both FPIC and ZN-tuned NFPIC.

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

Access this chapter

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 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

  1. M. Sugeno, Industrial Applications of Fuzzy Control, Amsterdam: Elsevier Science, 1985.

    Google Scholar 

  2. H. Nomura, I. Hayashi and N. Wakami, “A Self-Tuning Method of Fuzzy Control by Decent Method,” Proc. IFSA’91, pp. 155–158, 1991.

    Google Scholar 

  3. C.H. Jung, C.H. Ham and K.I. Lee, "A real-time self-tuning fuzzy controller through scaling factor adjustment for the steam generator of NPP," Fuzzy Sets and Systems, vol. 74, pp. 53–60, 1995.

    Article  Google Scholar 

  4. Hung-Yuan Chung, Bor-Chin Chen and Jin-Jye Lin, “A PI-type fuzzy controller with selftuning scaling factors,” Fuzzy Sets and Syst., vol. 93, pp. 23–28, 1998.

    Article  Google Scholar 

  5. Rajani K. Mudi and Nikhil R. Pal, “A Robust Self-Tuning Scheme for PI and PD Type Fuzzy Controllers,” IEEE Trans. on Fuzzy Systems, vol.7, no. 1, pp. 2–16, 1999.

    Article  Google Scholar 

  6. Z.W. Woo, H.Y. Chung and J.J. Lin, “A PID type fuzzy controller with self-tuning scaling factors,” Fuzzy Sets and Systems, vol. 115, no. 2, pp. 321–326, 2000.

    Article  MATH  Google Scholar 

  7. Rajani K. Mudi and Nikhil R. Pal, “A Self-Tuning Fuzzy PI Controller,” Fuzzy Sets and Systems, vol. 115, no. 2, pp. 327–338, 2000.

    Article  MATH  Google Scholar 

  8. R. Palm, “Sliding Mode Fuzzy Control,” Proc. Fuzz IEEE, pp. 519–526, 1992.

    Google Scholar 

  9. H. Ying, W. Siler, and J. J. Buckley, “Fuzzy Control Theory: A Nonlinear Case,” Automatica, vol. 26, pp. 513–520, 1990.

    Article  MATH  MathSciNet  Google Scholar 

  10. D. Dirankov, H. Hellendoorn & M. Reinfrank, An Introduction to Fuzzy Control, NY: Springer-Verlag, 1993.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Instrumentation & Electronics Engg., Jadavpur University, Salt-lake Campus, 700098, Calcutta, India

    Rajani K. Mudi, Kalyan Majumdar & Chanchal Dey

Authors
  1. Rajani K. Mudi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Kalyan Majumdar
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Chanchal Dey
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Electronics and Communication Sciences Unit, Indian Statistical Institute, 203 B.T. Road, 700108, Calcutta, India

    Nikhil R. Pal

  2. Brain Science Institute, RIKEN, 2-1 Hirosawa, Wako, Japan

    Michio Sugeno

Rights and permissions

Reprints and permissions

Copyright information

© 2002 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Mudi, R.K., Majumdar, K., Dey, C. (2002). A Gain Adaptive Fuzzy Logic Controller. In: Pal, N.R., Sugeno, M. (eds) Advances in Soft Computing — AFSS 2002. AFSS 2002. Lecture Notes in Computer Science(), vol 2275. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45631-7_9

Download citation

  • DOI: https://doi.org/10.1007/3-540-45631-7_9

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43150-3

  • Online ISBN: 978-3-540-45631-5

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation