CFP last date
20 January 2025
Reseach Article

Performance Analysis of MIMO Ball and Beam System using Intelligent Controller

Published on March 2012 by S.Senthil kumar
International Conference and Workshop on Emerging Trends in Technology
Foundation of Computer Science USA
ICWET2012 - Number 11
March 2012
Authors: S.Senthil kumar
8029d263-8584-4adb-9f93-0d2de132bb8c

S.Senthil kumar . Performance Analysis of MIMO Ball and Beam System using Intelligent Controller. International Conference and Workshop on Emerging Trends in Technology. ICWET2012, 11 (March 2012), 19-25.

@article{
author = { S.Senthil kumar },
title = { Performance Analysis of MIMO Ball and Beam System using Intelligent Controller },
journal = { International Conference and Workshop on Emerging Trends in Technology },
issue_date = { March 2012 },
volume = { ICWET2012 },
number = { 11 },
month = { March },
year = { 2012 },
issn = 0975-8887,
pages = { 19-25 },
numpages = 7,
url = { /proceedings/icwet2012/number11/5393-1084/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference and Workshop on Emerging Trends in Technology
%A S.Senthil kumar
%T Performance Analysis of MIMO Ball and Beam System using Intelligent Controller
%J International Conference and Workshop on Emerging Trends in Technology
%@ 0975-8887
%V ICWET2012
%N 11
%P 19-25
%D 2012
%I International Journal of Computer Applications
Abstract

In this paper, to design a PID controller for Ball and Beam system to track the ball to a commanded position by varying the beam angle.The present work deals with the PID controller implementation of highly nonlinear ball and beam system.The mathematical model is developed for this system and it is implement and simulating using MATLAB software. The control algorithm used in the present study was found to be effective in controlling the non-linear unstable system.

References
  1. P. H. Eaton. D. V. Prokhorov and D. C. Wunsch II, 'Neurocontroller alternatives for "fuzzy" ball-and-beam systems with nonuniform nonlinear friction', IEEE Trans. Neural Networks, 11(2)(2000), 423-435.
  2. Ng, K., Trivide, M., “Neural Integrated Fuzzy Controller and Real-Time Implementation of A Ball Balancing Beam,” Proceedings of the 1996 IEEE International Conference on Robotics and Automation.
  3. Minneapolis, Minnesota, April 1996. Vol. 2. pp. 1590-1595.Tipsuwanpom, Runghimmawn, T Runghim, T. Intajag, and S. Krongratana "Fuzzy logic PID controller based on FPGA forprocess control," Industrial Electronics, 2004 IEEE International Symposium, Vol.2, No.11, 2004, 1495- 1500.
  4. F. Gordillo. F. Gomez-Estern, R. Ortega and J. Aracil, 'On the ball and beam problem: regulation with guaranteed transient performance and tracking periodic orbits', in Proc. lnternational Sympo­sium on Mathematical Theory of Networks and Systems, University of Notre Dame, IN. USA,August, 2002, pp. 215-221.
  5. C.F. Juang and C. Lo, “Zero-order TSK-type fuzzy system learning using a two-phase swarm intelligence algorithm, ” Fuzzy Sets and Systems, vol.159, no. 21, pp. 2910-2926, 2008.
  6. Korrapati R.; Anderson, J.A; Swain, N.K; Swain M; “System Modeling Using Virtual Instruments” Southeast Con, 2002.Proceedings IEEE Digital Object orbits', in Proc. lnternational Sympo­sium on Mathematical Theory of Networks and Systems, University of Notre Dame, IN. USA,August, 2002, pp. 215-221. Identifier:10.1109/.2002.995570Publication Year: 2002 , Page(s): 121 – 126
  7. Y. Jiang, C. McCorkell, and R. Zmod, “Application of neural networks for real time control of a ball-beam system,” in Proc. IEEE Int. Conf. Neural Networks, vol. 5, Dec. 1995, pp. 2397–2402.
  8. K. Ng and M. Trivide, “Neural integrated fuzzy controller and real-time implementation of a ball balancing beam,” in Proc. 1996 IEEE Int. Conf. Robot.Automat., vol. 2, Minneapolis, MN, Apr. 1996, pp. 1590–1595.
  9. S. S. Solano, A. Barriga, C. J. Jiménez, and J. L. Huertas, “Design and Application of Digital Fuzzy Controllers,” Sixth IEEE International Conference on Fuzzy Systems (FUZZ-IEEE’97), Vol. 2, pp. 869-874, July 1-5, 1997, Barcelona-Spai.
  10. G. K. Mann, B. G. Hu, and R. G. Gosine, "Analysis of Direct Action Fuzzy PID Controller Structures,” IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics, Vol. 29, No. 3, pp. 371-388, June, 1999.
  11. SiriWeerasooriya and M.A.El-Sharkwai,’ Identification and control of DC motor using back propagation”, IEEE Transaction on Neural Networks March 1992.
Index Terms

Computer Science
Information Sciences

Keywords

MIMO PID Controller Non-linear system stepper motor Fuzzy controller MATLAB