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Neural network control design considerations for the active damping of a smart beam

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In this study, possible options for the active damping of a smart beam with piezoelectric patches using neural network control algorithm, are presented. The algorithms used for the control are Neural Direct Inverse and Feedback Linearisation (NARMA-L2). Additionally, several possible modifications used for the purpose of improving the control, such as different values of control gain or sampling time of the training data, as well as step-wise control are tested.
Rocznik
Strony
767--774
Opis fizyczny
Bibliogr. 18 poz., rys.
Twórcy
autor
  • AGH University of Science and Technology, Krakow, Poland
autor
  • Cracow University of Technology, Mechanical Faculty, Krakow, Poland
Bibliografia
  • 1. Choi S., 2002, Vibration Control – Encyclopedia of Smart Materials, John Wiley & Sons, New York
  • 2. Crawley E., De Luis J., 1987, Use of piezoelectric actuators as elements of intelligent structures, AIAA Journal, 25, 1373-1385
  • 3. Cupiał P., 2008, Coupled Electromechanical Vibration Problems for Piezoelectric Distributed-Parameter Systems, Politechnika Krakowska, Kraków
  • 4. Flasiński M., 2011, Introduction to Neural Networks (in Polish), Wydawnictwo Naukowe PWN
  • 5. Hagan M.T., Demuth H.B., 1999, Neural networks for control, Proceedings of the 1999 American Control Conference, San Diego, 1642-1656
  • 6. Korbicz J., Obuchowicz A., Uciński D., 1994, Artificial Neural Networks (in Polish), Akademicka Oficyna Wydawnicza PLJ
  • 7. Medsker L., Jain L.C., 1999, Recurrent Neural Networks: Design and Applications, CRC Press, 325-354
  • 8. Narendra K.S., Parthasarathy K., 1990, Identification and control of dynamical systems using neural networks, IEEE Transactions on Neural Networks, 1, 4-26
  • 9. Nizioł J., 1989, Principles of Machine Vibration (in Polish), Wydawnictwo PK, Kraków
  • 10. Norgaard M., Ravn O., Poulsen N,K., Hansen L.K., 2003, Neural Networks for Modelling and Control of Dynamic Systems, Springer
  • 11. Omidvar O., Elliot D.L., edit., 1997, Neural Systems for Control, Academic Press
  • 12. Passino K.M., 2005, Biomimicry for Optimization, Control and Automation, Springer
  • 13. Preumont A., 1997, Vibration Control of Active Structures, Kluwer Academic Publisher
  • 14. Qiu Z., Zhang X., Ye C., 2012, Vibration suppresion of a flexible piezoelectric beam using BP neural network controller, Acta Mechanica Solida Sinica, 25, 417-428
  • 15. Rutkowski L., 2009, Methods and Algorithms of Artificial Inteligence (in Polish), Wydawnictwo Naukowe PWN
  • 16. Smyser C.P., Chandrashekhara K., 1997, Robust vibration control of composite beams using piezoelectric devices and neural networks, Smart Materials and Structures, 6
  • 17. Tylikowski A., 1993, Stabilization of beam parametric vibrations, Journal of Theoretical and Applied Mechanics, 31, 657-670
  • 18. Valoor M.T., Chandrashekhara K., Agarwal S., 2001, Self-adaptive vibration control of smart composite beams using recurrent neural architecture, International Journal of Solids and Structures, 38, 7857-7874
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-915456d6-acf3-4bb7-9aeb-4b3f1fac3c54
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