Paper
6 May 2024 Simulation analysis of axial force on optical fibers in unmanned aerial vehicles based on genetic algorithm
Zhen Zhang, Tingyu Xi, Qiang Zhang
Author Affiliations +
Proceedings Volume 13161, Fourth International Conference on Telecommunications, Optics, and Computer Science (TOCS 2023); 1316102 (2024) https://doi.org/10.1117/12.3026134
Event: Fourth International Conference on Telecommunications, Optics and Computer Science (TOCS 2023), 2023, Xi’an, China
Abstract
Fiber optic sensors due to their advantages such as light weight, small size, high temperature resistance, corrosion resistance, and electromagnetic interference resistance, can largely overcome the influence of environmental factors, accurately monitor various parameters of aircraft, and timely judge and prevent accidents. Therefore, they are suitable for parameter monitoring of unmanned aerial vehicles. In the working state of unmanned aerial vehicles, optical fibers are easily affected by axial forces, which in turn affects the accuracy and stability of fiber optic sensors in monitoring aircraft parameters. This study applies genetic algorithm to establish a mathematical model for the axial force on optical fibers. The algorithm is implemented through steps such as determining decision variables and constraints, establishing an optimization model, encoding, decoding, selection, crossover, mutation, and population iteration. Finally, by changing different parameter values for simulation analysis, the optimal approximate solution of the center wavelength value when the fiber optic is subjected to axial force was obtained. This effectively adjusts the fiber optic sensing system, improves the real-time, accuracy, and stability of unmanned aerial vehicle parameter monitoring, and has good application value and promotion significance.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Zhen Zhang, Tingyu Xi, and Qiang Zhang "Simulation analysis of axial force on optical fibers in unmanned aerial vehicles based on genetic algorithm", Proc. SPIE 13161, Fourth International Conference on Telecommunications, Optics, and Computer Science (TOCS 2023), 1316102 (6 May 2024); https://doi.org/10.1117/12.3026134
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KEYWORDS
Fiber optics sensors

Genetic algorithms

Fiber Bragg gratings

Unmanned aerial vehicles

Computer simulations

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