摘要
为了验证用于测量物体表面形貌的双圈同轴型光纤传感器的数学模型的可行性、优化新结构光纤传感器中的参量以提高光纤传感器线性测量范围和灵敏度,采用了不影响调制特性曲线前坡数据的镜子纸作为反射面进行试验验证,并对新结构的光纤传感器进行了理论分析和数学建模,然后采用粒子群算法对新结构中的倾斜角度进行了优化。结果表明,以镜子纸为反射面所得的试验曲线与仿真调制特性曲线吻合,证明了用于测量物体表面形貌的双圈同轴型光纤传感器的数学模型的可行性;经粒子群算法优化后的倾斜角度为2.33°,此时前坡线性测量区间和灵敏度分别是倾斜角为零时的1.14倍和1.89倍。新结构的双圈同轴型光纤传感器展现出了良好的测量性能和应用前景。
In order to verify the feasibility of the mathematical model of two-circle coaxial optical fiber sensors for measuring the surface topography of objects, the parameters of the novel structure optical fiber sensor were optimized to improve the linear measurement range and sensitivity of the optical fiber sensors. The mirror paper, which does not affect the front slope data of the modulation characteristic curve, was used as the reflector for experimental verification. The theoretical analysis and mathematical modeling of the new structure of optical fiber sensor were also carried out. Then, the tilt angle of the novel structure was optimized by using particle swarm optimization. The results show that the experimental curve obtained by using mirror paper as reflector coincides with the simulation modulation characteristic curve. The feasibility of the mathematical model of the two-circle coaxial optical fiber sensor used to measure the surface topography of the object is proved. The slope angle optimized by particle swarm optimization is 2.33°. At this time, the linear measurement range and sensitivity of the front slope are 1.14 times and 1.89 times respectively when the inclination angle is zero. The novel structure of two-circle coaxial optical fiber sensor shows good measurement performance and application prospects.
作者
杨睿
杨瑞峰
郭晨霞
吴耀
YANG Rui;YANG Ruifeng;GUO Chenxia;WU Yao(School of Instrument and Electronics, North University of China, Taiyuan 030051, China)
出处
《激光技术》
CAS
CSCD
北大核心
2019年第3期324-328,共5页
Laser Technology
基金
山西省青年科技研究基金资助项目(2015021104)
山西省重点研发计划资助项目(201703D121028-2)
关键词
光纤光学
双圈同轴型光纤传感器
粒子群算法
倾斜角
线性测量区间
灵敏度
fiber optics
two-circle coaxial optical fiber sensor
particle swarm optimization
inclined angle
linear measurement interval
sensitivity
