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Damping Control Strategies for Vibration Isolation of Disturbed Structures

  • Daniela Marinova
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5434)

Abstract

This paper investigates thin layered structures as active systems and control strategies for their vibration suppressions and shape regulating. We focus on FEM modelled thin plates. Optimal voltages for shape control are obtained using genetic optimization. An optimal selection of actuators number and locations is considered. Data fusion for reduction of input data for simplifying the controlling process is studied. Numerical simulations are presented.

Keywords

Functionally Grade Material Vibration Isolation Finite Element Method Model Shape Control Functionally Grade Material 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Vel, S., Batra, R.: Three-dimensional analysis of transient thermal stresses in functionally graded plates. Int. J. Solids and Structures 40, 7181–7196 (2003)CrossRefzbMATHGoogle Scholar
  2. 2.
    Dong, S., Tong, L.: Vibration control of plates using discretely distributed piezoelectric quasi-modal actuators/sensors. AIAA Journal 39, 1766–1772 (2001)CrossRefGoogle Scholar
  3. 3.
    Sankar, B.: An elasticity solution for functionally graded beams. Composite Science and Technology 61, 689–696 (2001)CrossRefGoogle Scholar
  4. 4.
    Kwon, Y., Bang, H.: The Finite Element Method Using Matlab. CRC Press, Boca Raton (2000)zbMATHGoogle Scholar
  5. 5.
    Ray, M., Sachade, H.: Exact Solutions for the Functionally Graded Plates Integrated with a Layer of Piezoelectric Fibre-Reinforced Composite. ASME Journal of Applied Mechanics 73, 622–632 (2007)CrossRefzbMATHGoogle Scholar
  6. 6.
    Houck, C., Joines, J., Kay, M.: A genetic algorithm for function optimization: a Matlab implementation. NCSU-IE TR 95-09 (1995)Google Scholar
  7. 7.
    Elmenreich, W., Schorgendorfer, A.: Fusion of Continuous-valued Sensor Measurements using Confidence-weighted Averiging. JVC 13, 1303–1312 (2007)zbMATHGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Daniela Marinova
    • 1
  1. 1.Technical University-SofiaSofiaBulgaria

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