基于遗传算法的光纤光栅横向均匀受压谱型识别技术的研究

Study on Spectrum Recognition Technique Based on Genetic Algorithm in Fiber Grating Sensing System under Transverse Uniform Stress

采用遗传算法对光纤光栅横向均匀受压的谱型识别技术进行了研究，建立了系统的优化数学模型，确定了对应的目标函数，分析了种群规模、进化代数、交叉率、变异率等参数选值对算法运行结果的影响，并选取了算法的运行参数组合。构建了光纤光栅横向均匀受压传感系统，完成了相关的仿真与实验。结果表明，用遗传算法实现的光纤光栅横向均匀受力系统应力测量的实验精度可达到0．86％。

Genetic Algorithm is applied to the study of spectrum recognition technique in fiber grating sensing system under transverse uniform stress. The mathematical model of the system is established and the objective function related with Genetic Algorithm is assured. The affection of parameter value such as population size, generations, crossover fraction and mutation rate to Genetic Algorithm is analyzed, and the optimal running parameters of Genetic Algorithm is choosed. The relevant experimental system is constructed, and the related simulation and experiment are completed. The results show that the accuracy of fiber grating sensing system under transverse uniform stress using Genetic Algorithm can achieve 0. 86%.