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.
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
M. Sugeno, Industrial Applications of Fuzzy Control, Amsterdam: Elsevier Science, 1985.
H. Nomura, I. Hayashi and N. Wakami, “A Self-Tuning Method of Fuzzy Control by Decent Method,” Proc. IFSA’91, pp. 155–158, 1991.
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.
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.
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.
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.
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.
R. Palm, “Sliding Mode Fuzzy Control,” Proc. Fuzz IEEE, pp. 519–526, 1992.
H. Ying, W. Siler, and J. J. Buckley, “Fuzzy Control Theory: A Nonlinear Case,” Automatica, vol. 26, pp. 513–520, 1990.
D. Dirankov, H. Hellendoorn & M. Reinfrank, An Introduction to Fuzzy Control, NY: Springer-Verlag, 1993.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights 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