Simulation analysis of axial force on optical fibers in unmanned aerial vehicles based on genetic algorithm

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.