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Tytuł artykułu

Application of Prediction Methods for Plate Vibration Suppression

Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In this paper, predictive feedback control is used to suppress circular plate vibrations. It is assumed that the system to be regulated is unknown. The plate is excited by a uniform force over the bottom surface generated by a loudspeaker. The axially-symmetrical vibrations of the plate are measured by the application of the strain sensors located along the plate radius and two centrally placed piezoceramic discs are used to cancel the plate vibrations. The control schemes presented in this work have the ability to predict the error sensor signals, to compute the control effort and to apply it to the actuator within one sampling period. For precise estimation of system behaviour the modified Runge-Kutta-3/8 neural network algorithm has been applied and tested. This control scheme is then illustrated through some numerical examples with simulations modeling the fuzzy predictive P-PI-PD controller and the improvement gained by incorporating a feed-forward path into the controller is demonstrated.
Rocznik
Tom
Strony
159--175
Opis fizyczny
Bibliogr. 15 poz., rys.
Twórcy
autor
  • University of Rzeszów, Rejtana 16, 35-310 Rzeszów, Poland
autor
  • Rzeszów University of Technology, W. Pola 2, 35-959 Rzeszów, POLAND
Bibliografia
  • 1. Boutayeb M., Identification of Nonlinear Systems in the Presence of Unknown but Bounded Disturbances, IEEE Trans, on Autom. Control, Vol. 45, No. 8, pp. 1503-1507, 2000.
  • 2. Butcher J.: Numerical Methods for Ordinary Differential Equations, Wiley, 2003.
  • 3. Deli A., Liguori P., Marroni A., A Fuzzy-PI Control Strategy. Control Eng. Practice. Vol.
  • 2, No. l,pp. 147-153, 1994.
  • 4. Deuflhard P., Hohmann A., Numerical Analysis in Modern Scientific Computing, Springer-Verlag, 2003.
  • 5. Driankov D., Hellendom H., Reinfrank M., Wprowadzenie do sterowania rozmytego, WNT, 1996.
  • 6. Fuller C., Elliott S., Nelson P.: Active Control of Vibrations, Academic Press, 1996.
  • 7. Hansen C., Snyder S. Active control of noise and vibration, E&FN Spon, London, 1997.
  • 8. Leniowska L. Vibrations of circular plate interacting with an ideal compressible fluid; Archives of Acoustics 24,4,435-449, (1999).
  • 9. O. Leniowska L., Leniowski R. Active control of circular plate vibration by using I piezoceramic actuators, Archives of Control Sciences, Vol. 13, No. 4, pp. 445-457, 2003.
  • 10. Man G., Hu B., Gosine R., Analysis of Direct Action Fuzzy PID Controller Structures,
  • 11.IEEE Trans, on SyS. Man and Cyb. Vol. 29, No. 3, pp. 371-387, 1999.
  • 12. Rosenhouse G., Active Noise Control, WIT Press, 2001.
  • 13. Sodersdrom T., Stoica P., System Identification, Prentice Hall Int., London, 1989.
  • 14. Wang Y., Lin C., Runge-Kutta Neural Network for Identification of Dynamical systems in p . High Accuracy, IEEE Trans. On Neural Net. Vol. 9, No. 2, pp. 294-307, 1998.
  • 15. MathWorks, Manual reference of LMS based adaptive filters, 2001.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BUJ6-0008-0009
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