Active vibration control using fiber Bragg grating sensors and piezoelectric actuators in co-located configuration

Ambrosino, C.; Diodati, Gianluca; Laudati, A.; Gianvito, Antonio; Concilio, Antonio; Sorrentino, Romualdo; Breglio, G.; Cutolo, A.; Cusano, A.

doi:10.1117/12.738797

Cited by 16 publications

(11 citation statements)

References 2 publications

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“…Linear edge filters have previously been report for the detection of dynamic strain signals [12]. Both detectors from the STIM would be utilised to eliminate the effect of input optical power fluctuations, by using a tap coupler, with the appropriate splitting ratio.…”

Section: Dynamic Measurementsmentioning

confidence: 99%

Distributed optical fibre smart sensors for Structural Health Monitoring: A Smart Transducer Interface Module

Wild

Hinckley

2009

2009 International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)

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Abstract-In this paper, we present a Smart Transducer Interface Module (STIM) for distributed optical fibre smart sensors. The STIM is a general purpose interface that has been designed to be used with intensiometric optical fibre sensors. The interface is made up of 2 optical fibre PIN receivers, a differential amplifier and a digital signal processor. The two received signals are differentially amplified to increase sensitivity and the signal-to-noise ratio. A DSP evaluation board is used as the intelligence of the STIM, which has onboard ADC. The STIM was successfully used as an embedded system monitoring both temperature and strain, and to simply switch on the onboard LED when these measurands exceeded a predetermined threshold value. The sensing system, without the DSP, was also used to successfully detect dynamic strain signals. We also present the future directions for work on distributed optical fibre smart sensors.

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Section: Dynamic Measurementsmentioning

confidence: 99%

Distributed optical fibre smart sensors for Structural Health Monitoring: A Smart Transducer Interface Module

Wild

Hinckley

2009

2009 International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)

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“…Cheng et al 22 use an FBG sensor to monitor the vibration of a flexible structure immersed in a fluid. Active vibration control has been implemented on a plate by Ambrosino et al 23 Gurses 24 presented an active control using measurements provided by a particular distributed sensor based on optical fiber technology that provides the state of deformation of a strip controlled by PZT actuators. However, all the previous work did not really exploit the full potential of optical strain gauges based on FBG technology that is the opportunity to have a large number of measurements using a non-invasive measurement set-up.…”

Section: Introductionmentioning

confidence: 99%

Averaging sensors technique for active vibration control applications

et al. 2013

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Fiber Bragg Gratings (FBG) sensors have a great potential in active vibration control of smart structures thanks to their small transversal size and the possibility to make an array of many sensors. The paper deals with the opportunity to reduce vibration in structures by using distributed sensors embedded in carbon fiber structures through the so called sensors-averaging technique. This method provides a properly weighted average of the outputs of a distributed array of sensors generating spatial filters on a broad range of undesired resonance modes without adversely affecting phase and amplitude. This approach combines the positive sides of decentralized control techniques as the control forces applied to the system are independent of one another, while, as for the centralized controls it has the possibility to exploit the information from all the sensors. The ability to easily manage this information allows to synthesize an efficient modal controller. Furthermore it enables to evaluate the stability of the control, the effects of spillover and the consequent effectiveness in reducing vibration. Theoretical aspects are supported by experimental applications on a large flexible system composed of a thin cantilever beam with 30 longitudinal FBG sensors and 6 piezoelectric actuators (PZT)

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“…Three different numerical techniques were used to evaluate the integral in (7) or (11). These techniques are the midpoint rule, the trapezoid rule, and Simpson's rule.…”

Section: Methodsmentioning

confidence: 99%

“…The change in the wavelength reflected causes the transmitted intensity to vary as the filters transmittance varies as a function of wavelength. A number of different filters can be utilised, including a matched FBG [9], a linear edge absorption filter, an interference filter [10], a Wavelength Division Multiplexing (WDM) coupler [11], an Arrayed Wave Guide (AWG) [12], and a Dense Wavelength Division Multiplexing (DWDM) filter.…”

Section: Edge Filter Detection Methodsmentioning

confidence: 99%

Numerical modelling of interrogation systems for optical fibre Bragg grating sensors

2011

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There are a number of interrogation methods that can be used in optical Fibre Bragg Grating (FBG) sensing system. For very high frequency signals interrogating the sensor signal from an FBG is limited to two intensiometric methods, edge filter detection and power detection. In edge filter detection, a broadband light source illuminates an FBG, the reflected spectrum is then passed through a spectral filter. In power detection, a narrowband light source with a wavelength corresponding to the 3dB point of the FBG is filtered by the FBG itself. Both methods convert the spectral shift of the FBG into intensity signals. These two categories each have a number of variations, all with different performance characteristics. In this work we present a numerical model for all of these interrogation systems. The numerical model is based on previous analytical modelling, which could only be utilised for perfect Gaussian profiles. However, interrogation systems can make use of non Gaussian shaped filters, or sources. The numerical modelling enables the different variations to be compared using identical component performance, showing the relative strengths and weakness of the systems in terms of useful parameters, including, signal-to-noise ratio, sensitivity, and dynamic resolution. The two different detection methods can also be compared side-by-side using the same FBG. Since the model is numerical, it enables real spectral data to be used for the various components (FBG, light source, filters). This has the added advantage of increasing the accuracy and usefulness of the model, over previous analytical work.

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Active vibration control using fiber Bragg grating sensors and piezoelectric actuators in co-located configuration

Cited by 16 publications

References 2 publications

Distributed optical fibre smart sensors for Structural Health Monitoring: A Smart Transducer Interface Module

Distributed optical fibre smart sensors for Structural Health Monitoring: A Smart Transducer Interface Module

Averaging sensors technique for active vibration control applications

Numerical modelling of interrogation systems for optical fibre Bragg grating sensors

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