FBG形状传感器的铺设角度偏差导致曲率和挠率测量误差,进而影响形状传感器的重构精度。针对该问题,本文提出一种基于鲸鱼优化算法(whale optimization algorithm, WOA)的FBG铺设角度偏差自校正模型。重构实验验证了本文方法的有效性,不同形状的远端重构误差分别从11.66mm和22.6mm降低为5.63mm和10.47mm,相对误差分别从2.56%和4.96%降低至1.21%和2.25%,相对误差从2.56%和4.96%降低至0.95%和2.06%。
The laying angle deviation of FBG shape sensors leads to measurement errors in curvature and torsion, which in turn affects the reconfiguration accuracy of shape sensors. To address this issue, this paper proposes a self-calibration model for FBG laying angle deviation based on Whale Optimization Algorithm (WOA). The reconfiguration experiment verified the effectiveness of the proposed method. The remote reconfiguration errors of different shapes were reduced from 11.66mm and 22.6mm to 5.63mm and 10.47mm, respectively. The relative errors were reduced from 2.56% and 4.96% to 1.21% and 2.25%, and the relative errors were reduced from 2.56% and 4.96% to 0.95% and 2.06%, respectively.