Efficient Sensor Placement Optimization for Shape Deformation Sensing of Antenna Structures with Fiber Bragg Grating Strain Sensors

Zhou, Jinzhu; Cai, Zhiheng; Zhao, Pengbing; Tang, Baofu

doi:10.3390/s18082481

Cited by 22 publications

(13 citation statements)

References 40 publications

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“…However, the proposed method can be applied to correct the distorted radiation patterns of the APAA with a large scanning range, because the proposed coupling models depend on the scanning range of the array. Moreover, considering the wide applicability of the FBG sensor-based deformation sensing method [22], the proposed method also can be applied to correct the distorted patterns for the APAA with different element types and array size.…”

Section: Discussion Of Experimental Resultsmentioning

confidence: 99%

“…where p e is the photo elastic constant of an optical fiber, λ l and λ l are the original reflection wavelength and reflection wavelength shift, respectively. According our previous study [22], the surface deformation can be calculated by a small amount of strains using the established strain-displacement transformation matrix. The central displacements of the elements in z direction for an M × N APAA can be calculated by the following model…”

Section: A Strain-displacement Transformation Matrixmentioning

confidence: 99%

“…The 35 locations are shown in the Fig. 3(b) [22]. In order to avoid interference between the FBG strain sensors in the same channel, seven channels of the fiber grating demodulator (si255, Micron Optics, Inc., Atlanta, GA, USA) was employed to acquire the normal strains, and each channel was connected in series with 10 FBG sensors of different Bragg wavelengths.…”

Section: Experimental System Of Deformable Apaamentioning

confidence: 99%

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Adaptive Correction for Radiation Patterns of Deformed Phased Array Antenna

et al. 2020

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The radiation patterns of an active phased array antenna (APAA) will inevitably deteriorate in service, due to the physical deformation of the antenna surface. Therefore, it is crucial that the APAA has an adaptive correction capability for the deterioration of the radiation patterns. This paper investigated an adaptive correction method for the radiation patterns of a deformed APAA, according to a small amount of measured strains from fiber Bragg grating (FBG) sensors. In this method, two kinds of strain-electromagnetic coupling models, which can change the excitation currents of antenna elements, were established using the phase correction and fast Fourier transform, respectively. The strain-electromagnetic coupling models are applied to quickly calculate the adjustment values of excitation currents, and then the corrected excitation currents are sent to the beam control circuit for compensating the influences of the antenna surface deformations. An X-band APAA experimental platform was developed. Some experiments were carried out, and the advantages of two coupling models were also compared and analyzed. The experimental results demonstrated that the proposed method can effectively correct the deterioration of radiation patterns caused by various antenna surface deformations. This method is suitable for developing an adaptive correction system in some applications such as the wing-APAA of an aircraft or the space-based flexible APAA.

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Section: Discussion Of Experimental Resultsmentioning

confidence: 99%

Section: A Strain-displacement Transformation Matrixmentioning

confidence: 99%

Section: Experimental System Of Deformable Apaamentioning

confidence: 99%

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Adaptive Correction for Radiation Patterns of Deformed Phased Array Antenna

et al. 2020

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“…It is worth noting that in most of literature works FBG sensors were proposed to sensorize large components such as turbines, wings or hull elements that have a large dimension. Moreover, recent works successfully demonstrate the use of FBG sensors to detect defects or cracks in mechanical structure even with reduced size [16,17,18]. In our work, the FBG sensors are successfully applied on complex geometry characterized by a high surface curvature.…”

Section: Introductionmentioning

confidence: 90%

Strain Monitoring of a Composite Drag Strut in Aircraft Landing Gear by Fiber Bragg Grating Sensors

Iadicicco

Natale

Palma

et al. 2019

Sensors

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This work reports on the use of Fiber Bragg Grating (FBG) sensors integrated with innovative composite items of aircraft landing gear for strain/stress monitoring. Recently, the introduction of innovative structures in aeronautical applications is appealing with two main goals: (i) to decrease the weight and cost of current items; and (ii) to increase the mechanical resistance, if possible. However, the introduction of novel structures in the aeronautical field demands experimentation and certification regarding their mechanical resistance. In this work, we successfully investigate the possibility to use Fiber Bragg Grating sensors for the structural health monitoring of innovative composite items for the landing gear. Several FBG strain sensors have been integrated in different locations of the composite item including region with high bending radius. To optimize the localization of the FBG sensors, load condition was studied by Finite Element Method (FEM) numerical analysis. Several experimental tests have been done in range 0–70 kN by means of a hydraulic press. Obtained results are in very good agreement with the numerical ones and demonstrate the great potentialities of FBG sensor technology to be employed for remote and real-time load measurements on aircraft landing gears and to act as early warning systems.

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“…FBG sensors have shown broad application prospects in structure health monitoring due to their advantages, such as small size, light weight, high resolution, multiplexing capability and immunity to electromagnetic fields [ 2 ]. Furthermore, FBG sensors have shown great potential for monitoring strain [ 3 ], vibration [ 4 ] and temperature [ 5 ], thus various studies based on the FBG sensitivity characteristics have been performed to detect different environmental states as strain sensors, temperature sensors, etc. Recently, FBG sensors have attracted more attention for crack detection in composite [ 6 ] and metallic materials [ 7 ].…”

Section: Introductionmentioning

confidence: 99%

The Analysis of FBG Central Wavelength Variation with Crack Propagation Based on a Self-Adaptive Multi-Peak Detection Algorithm

Zhang

Wang

et al. 2019

Sensors

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We propose a peak seeking algorithm to extract the damage characteristic-variation of central wavelength to monitor the crack damage status in aluminum alloy plates using surface bonded fiber Bragg grating (FBG) sensors. The FBG sensors are sensitive to the uniform and non-uniform strain distribution along their longitudinal direction, and the effect appears in the power spectrum of the reflected light from the gauge section. In this paper, we propose a fast-self-adaptive multi-peak seeking algorithm to detect the central wavelength shifting of the FBG reflection spectrum with the crack propagation. The proposed peak searching algorithm results point to a significant improvement compared to other conventional methods. Then the central wavelength shifting is applied to explain the crack propagation behavior of the aluminum plates under quasi-static tensile test conditions. The different damages feature changing intervals which are associated with the crack position and the FBGs location, demonstrating that central wavelength shifting performs as an indicator to detect structural crack damage.

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Efficient Sensor Placement Optimization for Shape Deformation Sensing of Antenna Structures with Fiber Bragg Grating Strain Sensors

Cited by 22 publications

References 40 publications

Adaptive Correction for Radiation Patterns of Deformed Phased Array Antenna

Adaptive Correction for Radiation Patterns of Deformed Phased Array Antenna

Strain Monitoring of a Composite Drag Strut in Aircraft Landing Gear by Fiber Bragg Grating Sensors

The Analysis of FBG Central Wavelength Variation with Crack Propagation Based on a Self-Adaptive Multi-Peak Detection Algorithm

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