We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
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

Digital Control of Magnetic Levitation System using Fuzzy Logic Controller

by Shekhar Yadav, J.p.tiwari, S.k.nagar
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 41 - Number 21
Year of Publication: 2012
Authors: Shekhar Yadav, J.p.tiwari, S.k.nagar
10.5120/5826-8141

Shekhar Yadav, J.p.tiwari, S.k.nagar . Digital Control of Magnetic Levitation System using Fuzzy Logic Controller. International Journal of Computer Applications. 41, 21 ( March 2012), 27-31. DOI=10.5120/5826-8141

@article{ 10.5120/5826-8141,
author = { Shekhar Yadav, J.p.tiwari, S.k.nagar },
title = { Digital Control of Magnetic Levitation System using Fuzzy Logic Controller },
journal = { International Journal of Computer Applications },
issue_date = { March 2012 },
volume = { 41 },
number = { 21 },
month = { March },
year = { 2012 },
issn = { 0975-8887 },
pages = { 27-31 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume41/number21/5826-8141/ },
doi = { 10.5120/5826-8141 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:30:12.711924+05:30
%A Shekhar Yadav
%A J.p.tiwari
%A S.k.nagar
%T Digital Control of Magnetic Levitation System using Fuzzy Logic Controller
%J International Journal of Computer Applications
%@ 0975-8887
%V 41
%N 21
%P 27-31
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper deals with the control aspects of magnetic levitation system using fuzzy logic controller (FLC). The magnetic levitation system is a mechatronic system already acknowledged and accepted by the field experts. For such a system it is desired to proposed a suitable controller for positioning a metal sphere in air space by the help of an electromagnetic force. In the ideal situation, the magnetic force produced by current from an electromagnet counteracts the weight of the metal sphere. Nevertheless, the electromagnetic force is very sensitive, and there is noise that creates acceleration forces on the metal sphere, causing the sphere to move into the unbalanced region. FLC proposed in this paper is to control the nonlinear magnetic ball suspension system using Mamdani implication method. Samples of simulation results with different initial conditions concerning the ball's position and speed are provided included to validate the theory. The effectiveness of this proposed technique is validated through experimental results obtained by performing experiments on Feedback make Magnetic levitation system

References
  1. K. Ishaque, S. S. Abdullah, S. Ayub, Z. Salam, "A simplified approach to design fuzzy logic controller for an underwater vehicle", Ocean Engineering, Vol. 38, No. 1, 271-284 (2010).
  2. K. H. Ang, G. Chong, and Y. Li, "PID Control System Analysis, Design and Technology", IEEE Trans . on Control System Technology, vol. 13, no. 4, pp. 559-576, 2005.
  3. S. Lei, A. Palazzolo, and A. Kascak. Fuzzy logic intelligent control system of magnetic bearings. In IEEE International Fuzzy Systems Conference, 2007. FUZZ-IEEE 2007, pages 1–6, 2007.
  4. T. Li, C. Kuo, and N. Guo. Design of an EP-based fuzzy sliding-mode control for a magnetic ball suspension system. Chaos, Solitons and Fractals, 33(5):1523–1531, 2007.
  5. Fuzzy Logic Toolbox For Use with MATLAB, The Mathworks Inc. , version 2, Natick, MA, 2006.
  6. Cihan Karakuzu, S?tk? öztürk ," A Comparison of Fuzzy, Neuro and Classical Control Techniques Based on an Experimental Application", University of Quafaquaz, No. 6, pp 189-198,July 2000.
  7. Meiyung Chen, Ming-Jyh Wang and Li-Chen Fu. "Modeling and controller design of a maglev guiding system for application in precision positioning, " IEEE Trans-actions on Industrial Electronics vol. 50, no. 3, pp. 493-506, June 2003.
  8. G. K. I. Mann, B. G. Hu, and R. G. Gosine, "Analysis of Direct Action Fuzzy PID Controller structures", IEEE Trans. on System, Man and cybernetics, vol. 29, no. 3, pp. 371-288,June 1999.
  9. R. C. Dorf and R. H. Bishop, Modern Control System, Addison Wesley, Menlo Park, CA, 1998, 8th Ed.
  10. C. Lin and H. Jou. Force model identification for magnetic suspension systems via magnetic field measurement. IEEE Transactions on Instrumentation and Measurement, 42(3):767–771, 1993.
Index Terms

Computer Science
Information Sciences

Keywords

Magnetic Levitation System Fuzzy Logic Control Pid Control

Powered by PhDFocusTM