Analysis of FBG Reflection Spectrum with PSO Algorithm

Abstract:

When the parameters were measured by using fiber Bragg grating (FBG) in practice, there were some parameters hard to measure, which would influenced the reflective spectral of FBG severely, and make the characteristic information harder to be extracted. Therefore, particle swarm optimization algorithm was proposed in analyzing the uniform force reflective spectral of FBG. Based on the uniform force sense theory of FBG and particle swarm optimization algorithm, the objective function were established, meanwhile the experiment and simulation were constructed. And the characteristic information in reflective spectrum of FBG was extracted. By using particle swarm optimization algorithm, experimental data showed that particle swarm optimization algorithm used in extracting the characteristic information not only was efficaciously and easily, but also had some advantages, such as high accuracy, stability and fast convergence rate. And it was useful in high precision measurement of FBG sensor.

• Periodical: Applied Mechanics and Materials (Volumes 182-183)
• Pages: 1953-1957
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.182-183.1953
• Online since: June 2012
• Authors: Zhao Xia Wu, Shu Qiang Chen, Jun Wei Wang, Li Fu Wang
• Keywords: Characteristic Information, Fiber Bragg Grating (FBG), Particle Swarm Optimization Algorithm (PSO), Transverse Uniform Force

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