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Enhancing active vibration control performances in a smart structure by using Fiber Bragg Gratings sensors

Proceedings of SPIE - The International Society for Optical Engineering, ISSN: 0277-786X, Vol: 8345
2012
  • 29
    Citations
  • 0
    Usage
  • 5
    Captures
  • 0
    Mentions
  • 0
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Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    29
    • Citation Indexes
      29
  • Captures
    5

Conference Paper Description

Fiber optic strain sensors, such as Fiber Bragg Gratings (FBG), have a great potential in the use in smart structures thanks to their small transversal size and the possibility to make an array of many sensors. They can be embedded in carbon fiber structures and their effect on the structure is nearly negligible. On the other hand, some critical aspects should be evaluated, such as higher cost and lower SNR respect to traditional technologies. In this work a simple carbon fiber structure has been developed, composed of a thin cantilever with 14 longitudinal FBG sensors and 3 piezoelectric actuators (PZT). A dynamic 1 kHz swept-laser interrogator was used to gather the FBG data: the output is a digital signal and the time delay introduced has been measured. This is a critical point that restricts the highest controllable frequency: our results show that the limit is at about 50 Hz. A control system has been developed and many control strategies have been evaluated to suppress vibration, from the simplest single-sensor to single-actuator strategy, up to modal control. The SNR of the input data has been found to be critical. The use of FBG sensors allows improving the performance of the control because they give a large number of measurements regarding the state of deformation of the whole structure. Modal control was found to have the best results thanks to its best use of all the sensors data. © 2012 SPIE.

Bibliographic Details

G. Cazzulani; Masayoshi Tomizuka; Chung-Bang Yun; S. Cinquemani; L. Comolli; Jerome P. Lynch

SPIE-Intl Soc Optical Eng

Materials Science; Physics and Astronomy; Computer Science; Mathematics; Engineering

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