Self-calibration method of optical fiber shape sensor placement angle deviation based on GA

A self-calibration method based on genetic algorithm (GA) is used to achieve the placement angle correction of optical fiber shape sensor. This method can automatically calibrate the placement angle of the sensor directly, with no need of complex experimental calibration process. The method is verified by simulation and experiment under different bending directions and curvature, the maximum error of curvature and bending directions is decreased by 9.6%, 7.0(?), and 11.3%, 7.2(?) by the self-calibration method in the simulation and experiment, respectively. This method provides a new correction method for optical fiber shape sensing, which is more convenient and effective than the traditional calibration method, especially in the field of long distance and large structure, which needs a large number of measuring points and needs to be laid and calibrated in the scene.

采用一种基于遗传算法（GA）的自校准方法来实现光纤形状传感器的放置角度校正。该方法能够直接自动校准传感器的放置角度，无需复杂的实验校准过程。通过在不同弯曲方向和曲率下进行仿真和实验验证，在仿真和实验中，自校准方法分别使曲率和弯曲方向的最大误差降低了9.6%、7.0（此处单位不明）以及11.3%、7.2（此处单位不明）。这种方法为光纤形状传感提供了一种新的校正方法，它比传统校准方法更便捷有效，特别是在长距离和大型结构领域，该领域需要大量测量点且需要在现场铺设和校准。