A method for measuring the curvature of long period fiber gratings based on anfis

Abstract

A long-period fiber grating curvature measurement method based on ANFIS, comprising the following steps: 1) setting up a training sample set; 2) constructing an adaptive-network-based fuzzy inference system (ANFIS) system; 3) applying Long period fiber gratings measure the magnitude of the curvature. The invention discloses a long-period optical fiber grating curvature identification method, which is used for measuring curvature by a long-period optical fiber grating sensor. Its purpose combines the advantages of fuzzy logic and the excellent learning, approximation and prediction capabilities of neural networks to improve the accuracy of strain quantification of fiber grating sensors for long-period optical fibers. Compared with the curvature measurement methods of existing long-period fiber gratings, the present invention has the advantages of The advantages of high strain quantification accuracy, short learning period, and strong model versatility can be applied to other sensing applications with only minor modifications.

Description

technical field [0001] The invention relates to the field of long-period fiber grating strain sensing, in particular to an ANFIS-based long-period fiber grating curvature measurement method. Background technique [0002] Long-period fiber grating strain sensors have the advantages of small size, light weight, anti-electromagnetic interference, high durability, and corrosion resistance, so they have attracted extensive attention from the engineering community. Its working principle is based on the resonance wavelength shift of the long-period fiber grating under the action of physical parameters such as curvature. It is therefore crucial to determine the relationship between the external parameters and the resonant wavelength with sufficient precision. [0003] The resonant wavelength and attenuation rate of the transmission spectrum of the LPFG vary with the bending curvature. During the bending process of the LPFG, the bending changes the mode field distribution of the co...

AI Technical Summary

Problems solved by technology

However, the curvature sensing characteristics of long-period fiber gratings are quite complicated. In actual curvature measurement, it is very difficult to reverse the curvature based on the existing resonance wavelength value. To solve this problem, an adaptive neuro-fuzzy system is used to detect the The curvature of the raster is predicted

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