Table of Contents
Advances in Aerospace Engineering
Volume 2015, Article ID 137068, 20 pages
http://dx.doi.org/10.1155/2015/137068
Research Article

Active Vibration Control of the Smart Plate Using Artificial Neural Network Controller

1Department of Electronics & Communication Engineering, Maharshi Dayanand University, Rohtak, Haryana 124001, India
2Department of Mechanical Engineering, University Institute of Engineering &Technology, Maharshi Dayanand University, Rohtak, Haryana 124001, India

Received 5 September 2014; Revised 21 January 2015; Accepted 21 January 2015

Academic Editor: Hamid M. Lankarani

Copyright © 2015 Mohit et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. Y. Xia and A. Ghasempoor, “Active vibration suppression using neural networks,” in Proceedings of the World Congress on Engineering, vol. 2, pp. 1–6, 2009.
  2. S. D. Snyder and N. Tanaka, “Active control of vibration using a neural network,” IEEE Transactions on Neural Networks, vol. 6, no. 4, pp. 819–828, 1995. View at Publisher · View at Google Scholar · View at Scopus
  3. R. Jha and J. Rower, “Experimental investigation of active vibration control using neural networks and piezoelectric actuators,” Smart Materials and Structures, vol. 11, no. 1, pp. 115–121, 2002. View at Publisher · View at Google Scholar · View at Scopus
  4. Z. Qiu, B. Ma, and X. Zhang, “End edge feedback and RBF neural network based vibration control of flexible manipulator,” in Proceedings of the IEEE International Conference on Robotics and Biomimetics (ROBIO '12), pp. 1680–1685, IEEE, Guangzhou, China, December 2012. View at Publisher · View at Google Scholar · View at Scopus
  5. E. Bianchi, G. L. Ghiringhelli, D. Martini, and P. Masarati, “Neural active control for vibration and noise suppression,” Via La Masa, vol. 34, pp. 13–26, 2014. View at Google Scholar
  6. S. Bhowmik, “Neural network based semi-active control strategy for structural vibration mitigation with magnetorheological damper,” in Proceedings of the 3rd International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, pp. 1–13, Corfu, Greece, May 2011. View at Scopus
  7. S. H. Youn, J. H. Han, and I. Lee, “Neuro-adaptive vibration control of composite beams subject to sudden delamination,” Journal of Sound and Vibration, vol. 238, no. 2, pp. 215–231, 2000. View at Publisher · View at Google Scholar · View at Scopus
  8. J. O. Pedro, O. A. Dahunsi, and O. T. Nyandoro, “Direct adaptive neural control of antilock braking systems incorporated with passive suspension dynamics,” Journal of Mechanical Science and Technology, vol. 26, no. 12, pp. 4115–4130, 2012. View at Publisher · View at Google Scholar · View at Scopus
  9. C.-C. Ku and K. Y. Lee, “Diagonal recurrent neural networks for dynamic systems control,” IEEE Transactions on Neural Networks, vol. 6, no. 1, pp. 144–156, 1995. View at Publisher · View at Google Scholar · View at Scopus
  10. S. Erkaya, “Prediction of vibration characteristics of a planar mechanism having imperfect joints using neural network,” Journal of Mechanical Science and Technology, vol. 26, no. 5, pp. 1419–1430, 2012. View at Publisher · View at Google Scholar · View at Scopus
  11. Y. Zhou, Q. Zhang, X. Li, and W. Gan, “Experimental investigation of active vibration control using a filtered-error neural network and piezoelectric actuators,” in Advances in Neural Networks—ISNN 2005, vol. 3498, pp. 161–166, Springer, Berlin, Germany, 2005. View at Publisher · View at Google Scholar
  12. R. Jha and C. He, “A comparative study of neural and conventional adaptive predictive controllers for vibration suppression,” Smart Materials and Structures, vol. 13, no. 4, pp. 811–818, 2004. View at Publisher · View at Google Scholar · View at Scopus
  13. C. P. Smyser and K. Chandrashekhara, “Robust vibration control of composite beams using piezoelectric devices and neural networks,” Smart Materials and Structures, vol. 6, no. 2, pp. 178–189, 1997. View at Publisher · View at Google Scholar · View at Scopus
  14. C.-J. Chen, “Structural vibration suppression by using neural classifier with genetic algorithm,” International Journal of Machine Learning and Cybernetics, vol. 3, no. 3, pp. 215–221, 2012. View at Publisher · View at Google Scholar · View at Scopus
  15. J. Liu, K. Xia, and C. Zhu, “Online prediction and intelligent control for structural vibration based on neural networks,” in Proceedings of the 2nd Asia-Pacific Conference on Computational Intelligence and Industrial Applications (PACIIA '09), vol. 9, pp. 369–372, IEEE, November 2009. View at Publisher · View at Google Scholar · View at Scopus
  16. J. Liu, X. Chen, and Z. He, “Frequency domain active vibration control of a flexible plate based on neural networks,” Frontiers of Mechanical Engineering, vol. 8, no. 2, pp. 109–117, 2013. View at Publisher · View at Google Scholar · View at Scopus
  17. S. Yildirim and I. Eski, “Vibration analysis of an experimental suspension system using artificial neural networks,” Journal of Scientific and Industrial Research, vol. 68, no. 6, pp. 522–529, 2009. View at Google Scholar · View at Scopus
  18. A. Bosse, T. W. Lim, and S. Shelley, “Modal filters and neural networks for adaptive vibration control,” Journal of Vibration and Control, vol. 6, no. 4, pp. 631–648, 2000. View at Publisher · View at Google Scholar · View at Scopus
  19. R. Kumar, S. P. Singh, and H. N. Chandrawat, “Experimental adaptive vibration control of smart structures using LVQ neural networks,” Journal of Scientific and Industrial Research, vol. 65, no. 10, pp. 798–807, 2006. View at Google Scholar · View at Scopus
  20. A. S. Islam and K. C. Craig, “Damage detection in composite structures using piezoelectric materials (and neural net),” Smart Materials and Structures, vol. 3, no. 3, pp. 318–328, 1994. View at Publisher · View at Google Scholar · View at Scopus
  21. S.-J. Zheng, Z.-Q. Li, and H.-T. Wang, “A genetic fuzzy radial basis function neural network for structural health monitoring of composite laminated beams,” Expert Systems with Applications, vol. 38, no. 9, pp. 11837–11842, 2011. View at Publisher · View at Google Scholar · View at Scopus
  22. Y. Li, Y. Liu, X. Liu, and Z. Peng, “Parameter identification and vibration control in modular manipulators,” IEEE/ASME Transactions on Mechatronics, vol. 9, no. 4, pp. 700–705, 2004. View at Publisher · View at Google Scholar · View at Scopus