基于粒子群算法的FBG横向受力反射谱的研究  

Research on FBG Reflection Spectrum Under Transverse Force with PSO

作　　者：吴朝霞[1] 乔倩[1] 金伟[1] 付斌[1] 

机构地区：[1]东北大学秦皇岛分校自动化工程系,河北秦皇岛066004

出　　处：《东北大学学报（自然科学版）》2012年第5期609-612,617,共5页Journal of Northeastern University(Natural Science)

基　　金：国家自然科学基金资助项目(60877047);教育部高等学校基本科研业务费专项资金资助项目(N090223001)

摘　　要：应用光纤光栅(FBG)测量横向作用力时,由于系统误差、器件损耗以及一些不易测得参数的影响,引起FBG的反射谱发生畸变,导致特征信息提取困难.为此提出了基于粒子群优化算法的FBG横向受力反射谱的分析方法,建立了FBG横向受力和粒子群算法模型,通过确立分析所用的目标函数,对FBG横向受力进行实验和寻优,在FBG横向受力反射谱中提取了特征信息.实验结果表明,粒子群算法在FBG反射谱分析中提取特征信息及测量一些不易测得的参数十分有效,并且精度高、稳定性好、收敛速度快,在FBG传感器高精度测量方面非常实用.When using fiber Bragg grating（FBG） to measure traverse force,the reflective spectrum of FBG is severely influenced by the system errors,instruments wear and some other parameters hardly measured.It is very difficult to extract the characteristic information of transverse force.Therefore,an analysis method of FBG reflective spectrum under transverse force based on particle swarm optimization algorithm（PSO） was proposed,and a FBG transverse force-PSO model was established.The objective function was established for experimentalizing and optimizing reflective spectrum of FBG under transverse force,and then the characteristic information in reflective spectrum of FBG was extracted.Experimental data showed that PSO used in extracting the characteristic information is not only efficaciously and easily,but also has some advantages,such as high accuracy,stability and fast convergence rate,and it is useful in high-precision measurement of FBG sensor.

关 键 词：光纤光栅 粒子群算法 特征信息 横向受力 反射谱 

分 类 号：TP212.14[自动化与计算机技术—检测技术与自动化装置]