光纤感知阵列在线滑觉测试系统

On-line slippage measurement system for optical fiber sensing array

  • 摘要: 针对智能柔性滑觉传感中位置与速度的实时监测问题,设计了一种监测目标位移与速度的光纤感知模块。首先,采用温度补偿模块解决温度交叉敏感问题;然后,在分析传感单元应力分布仿真结果的基础上提出了“米”型FBG组网结构;最后,采用标准压力计与小球完成了位置方向与速度状态的测试,并提出了适用该结构的目标状态解算模型。仿真结果显示,目标轨迹平均形变量约为0.32 μm,衰减距离宽度约为3.0 mm。实验针对0.255 kg钢制小球进行滑动测试,FBG应力灵敏度均优于0.0206 nm/N,FBG中心波长偏移量可以准确确定物体所在区域位置和物体运动方向。传感模块能够实时监测物体运动状态,智能调整物体施力大小及位姿。结果显示,该滑觉感知系统的平面定位精度、运动角度与速度换算均符合设计要求。并且根据模型函数关系可知,在调整传感网络中 FBG总量时可以实现对位置、角度及速度精度的控制。综上所述,该系统具有对检测区域内目标位置、运动状态实时监测的能力,适用于柔性智能装配、智能仿生皮肤等技术领域。

     

    Abstract: Aiming at the real-time monitoring of position and velocity in smart flexible sliding sensor, a fiber optic sensing module for real-time monitoring of target displacement and velocity was designed. First, the temperature compensation module was used to solve the temperature cross-sensitivity problem; then, based on the analysis of the stress distribution simulation results of the sensing unit, the "meter" type FBG network structure was proposed; finally, the standard pressure gauge and the ball were used to complete the test of the position direction and the speed state, and a target state solution model suitable for this structure was proposed. The simulation results show that the average deformation of the target trajectory is about 0.32 μm, and the attenuation distance width is about 3.0 mm. The experiment carried out a sliding test on a 0.255 kg steel ball. The FBG stress sensitivity was better than 0.0206 nm/N. The FBG center wavelength offset can accurately determine the location of the object and the direction of the object's movement. The sensor module can monitor the movement state of the object in real time, and intelligently adjust the force and posture of the object. The results show that the plane positioning accuracy, motion angle and speed conversion of the sliding sensor system meet the design requirements, and according to the model function relationship, it can be known that the control of accurancy of the position, angle and speed can be achieved when adjusting the total amount of FBG in the sensor network. In summary, the system has the capability of real-time monitoring of the target position and movement status in the detection area, and is suitable for technical fields such as flexible intelligent assembly and intelligent bionic skin.

     

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