CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Fuzzy Gain Scheduling of PID Controller for a MIMO Process

by N. Kanagasabai, N. Jaya
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 91 - Number 10
Year of Publication: 2014
Authors: N. Kanagasabai, N. Jaya
10.5120/15916-4803

N. Kanagasabai, N. Jaya . Fuzzy Gain Scheduling of PID Controller for a MIMO Process. International Journal of Computer Applications. 91, 10 ( April 2014), 13-20. DOI=10.5120/15916-4803

@article{ 10.5120/15916-4803,
author = { N. Kanagasabai, N. Jaya },
title = { Fuzzy Gain Scheduling of PID Controller for a MIMO Process },
journal = { International Journal of Computer Applications },
issue_date = { April 2014 },
volume = { 91 },
number = { 10 },
month = { April },
year = { 2014 },
issn = { 0975-8887 },
pages = { 13-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume91/number10/15916-4803/ },
doi = { 10.5120/15916-4803 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:12:22.261963+05:30
%A N. Kanagasabai
%A N. Jaya
%T Fuzzy Gain Scheduling of PID Controller for a MIMO Process
%J International Journal of Computer Applications
%@ 0975-8887
%V 91
%N 10
%P 13-20
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper describes the development of a fuzzy gain scheduling scheme of PID controllers for three tank process. This paper presents the controllers for three tank multi loop system using fuzzy gain scheduling. The application of fuzzy logic controller (FLC) appears to be encouraging in the sense that it is robust in disturbance rejection under various conditions. The controller designed by FLC technique is based on the choice of Fuzzy rules and Reasoning is used to determine the controller parameters based on the error signal and its first difference. Simulation results show that better control performance can be achieved in comparison with conventional-PI controllers. The simulation result of the process is carried out by using MATLAB simulink software.

References
  1. S. Abraham Lincon. , D. Sivakumar. J. Prakash. State and Fault Parameter Estimation Applied to Three-Tank Bench Mark Relying On Augmented State Kalman Filter. , ICGSTACSE Journal, Volume 7, Issue 1, May 2007.
  2. M. Zhaung and D. P. Atherton (1994), "PID controller design for TITO system," IEEP processes control Theory Appl. , Vol. 141 no. 2pp 111-120.
  3. S. Skogestad ,I. Postlehwaite (1996 ), "Multivariable Feedback Control Analysis and Design ," John Wiley & Sons Chichester
  4. K Astrom and T. Hagglund (1995), "PID Controllers: Theory Design and Tuning," Instrument Society of America, 2nd Edition.
  5. L. Kovács: Classical and Modern Multivariable Control Designing Methods of the Three Tank System, Periodica Politechnica–Transactions on Automatic Control and Computer Science, Vol. 48/62, 2003, pp. 80-86.
  6. J. J. Buckley and H. Ying. Fuzzy controller theory: Limit theorems for linear fuzzy control rules. Automatica, 25(3):469–472, March 1989.
  7. K. L. Anderson, G. L. Blankenship, and L. G. Lebow, "A rule-based adaptive PID controller," in Proc. 27th IEEE Conf. Decision, Control, 1988, pp. 564-569.
  8. P. J. Gawthrop and P. E. Nomikos, "Automatic tuning of commercial PID controllers for single-loop and multiloop applications," IEEE Control Syst. Mag. Vol. 10, pp. 34-42, 1990.
  9. J. Gertler and H. S. Chang. "An instability indicator for expert control," IEEE Control Syst. Mag. , vol. 6, pp. 14-17, 1986.
  10. C. C. Hang, "The choice of controller zeros," IEEE Control Syst. Mag. , vol. 9, pp. 72-75, 1989.
  11. C. C. Hang, K. J. Astrom, and W. K. Ho, "Refinements of the Ziegler – Nichols tuning formula," Proc. IEE, Pt. D. , vol. 138, pp. 111-118, 1991.
  12. T. Iwasaki and A. Morita, "Fuzzy atuo tuning for PID controller with model classification," in Proc. NAFIPS' 90 Toronto, Canada, June 6-8, 1990, pp. 90-93.
  13. T. Kitamori, "A method of control system design based upon partial knowledge about controlled processes," Trans. SICE Japan, vol. 15. pp. 549-555, 1979 (in Japanese).
  14. B. C. Kuo, Automatic Control Systems, 5th ed. Englewood Cliffs, NJ: Prentice-Hall, 1987.
  15. C. C. Lee, "Fuzzy logic in control system: Fuzzy logic controller, Part I," IEEE Trans. Systs. , Man, Cybern, vol. SMC-20, pp. 404-418, 1990.
  16. "Fuzzy logic in control systems: Fuzzy logic controller, Part II," IEEE Trans. Syst. Man. Cybern. , vol. SMC-20, pp. 419-435. 1990.
  17. C. G. Nesler, "Experiences in applying adaptive control to thermal processes in buildings," in Proc. Amer. Control Conf. Boston, MA, 1985. Pp. 1535-1540.
  18. T. J. Procyk and E. H. Mamdani, "A linguistic self organizing process controller," Automatica, vol, 15, pp. 15-30, 1979.
  19. M. Sugeno, ed. , Industrial Applications of Fuzzy Control. Amsterdam, The Netherlands: North-Holland, 1985.
  20. T. Takagi and M. Sugeno, "Fuzzy identification of systems and its applications to modeling and control," IEEE Trans. Syst. Man. Cybern. , vol. SMC-15, pp. 116-132, 1985.
  21. Venkata Ramesh. Edara, B. Amarendra Reddy, Srikanth Monangi and M. Vimala, "Analytical Structures for Fuzzy PID Controllers and Applications", International Journal of Electrical Engineering & Technology (IJEET), Volume 1, Issue 1, 2010, pp. 1 - 17, ISSN Print : 0976 6545, ISSN Online: 0976-6553.
Index Terms

Computer Science
Information Sciences

Keywords

FLC three tank multi-loop

Powered by PhDFocusTM