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首页> 外文会议>International Conference on Multisensor Fusion and Information Integration for Intelligent Systems >Non-linear compensation of production inaccuracies and material drift by adjusting the sensor data fusion algorithms for shape sensing based on FBG-optical fibers
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Non-linear compensation of production inaccuracies and material drift by adjusting the sensor data fusion algorithms for shape sensing based on FBG-optical fibers

机译：通过调整基于FBG光纤的传感器数据融合算法，通过调整传感器数据融合算法来产生不准确和材料漂移的非线性补偿

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摘要

Shape sensing, where the shape of an object is estimated using fiber optical Fiber Bragg Grating (FBG) sensors, has gained increasing popularity in the last years. While the production process and the applications are different for the various research groups, the basic principle of shape sensing is the same: at certain cross-sections along the observed object, the information of three strain measurements is merged to one curvature information, and the information of these curvatures is then used to estimate the shape with various mathematical theories, depending on the application. Some effort has been made to calibrate and determine the accuracy of the shape sensor, but research on the influence of bad positioning of the Fiber Bragg Gratings seems relatively unattended. In this paper, one aspect of bad FBG positioning, namely inaccurate placement of the FBGs within one cross-section, and its influence on the reconstruction results is investigated. Furthermore, a modified approach for the reconstruction algorithm is presented, improving the reconstruction results for bad FBG placement compared to the conventional approach.
机译：使用光纤光纤布拉格光栅（FBG）传感器估计物体形状的形状传感，在过去几年中获得了越来越多的普及。虽然生产过程和应用对于各种研究组不同，但形状传感的基本原理是相同的：在沿观察到的对象的某些横截面，三个应变测量的信息合并到一个曲率信息，以及然后使用这些曲率的信息来估计具有各种数学理论的形状，具体取决于应用。已经进行了一些努力来校准并确定形状传感器的准确性，但对纤维布拉格光栅的不良定位的影响的研究似乎相对无人看管。本文研究了不良FBG定位的一个方面，即在一个横截面内不准确地放置FBG，及其对重建结果的影响。此外，呈现了一种改进的重建算法的方法，与传统方法相比，改善了错误的FBG放置的重建结果。

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