首页|Visual reconstruction of flexible structure based on fiber grating sensor array and extreme learning machine al-gorithm

Visual reconstruction of flexible structure based on fiber grating sensor array and extreme learning machine al-gorithm

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A visual reconstruction method was proposed based on fiber Bragg grating(FBG)sensors and an intelligent algorithm,aiming to solve the problems of low accuracy and complex reconstruction process in conventional reconstruction methods of flexible structures.Firstly,the wavelength data containing structural strain information was captured by FBG sensors,together with deformation displacement information.Subsequently,a predicted model was built based on an extreme learning machine(ELM)and further optimized by the particle swarm optimization(PSO)algorithm.Different deformation patterns were tested on an aluminum alloy plate,indicating the ability of the predicted model to produce the deformation displacement for reconstruction.The experimental results show that the maximum error can be as low as 0.050 mm,which verifies that the proposed method is feasible and satisfied with the deformation moni-toring of the spacecraft structure.

ZHANG Sisi、YAN Jie、JIANG Mingshun、SUI Qingmei、ZHANG Lei、LUO Yuxiang

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School of Control Science and Engineering,Shandong University,Jinan 250061,China

Shandong Institute of Space Electronic Technology,Jinan 250061,China

国家自然科学基金国家自然科学基金国家自然科学基金国家自然科学基金国家重点研发计划国家重点研发计划Key Research and Development Plan of Shandong ProvinceKey Research and Development Plan of Shandong Province山东省自然科学基金

620731936190322461873333619032252018YFE020132020YFE02049002019TSLH03012019GHZ004ZR2021MF041

2022

10.1007/s11801-022-1189-4

光电子快报(英文版)
天津理工大学

光电子快报(英文版)

EI
影响因子：0.641
ISSN：1673-1905
年,卷(期)：2022.18(7)
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