Reconfiguration Error Correction Model for an FBG Shape Sensor Based on the Sparrow Search Algorithm

Qiufeng Shang; Feng Liu

doi:10.3390/s23167052

Reconfiguration Error Correction Model for an FBG Shape Sensor Based on the Sparrow Search Algorithm

Sensors (Basel). 2023 Aug 9;23(16):7052. doi: 10.3390/s23167052.

Authors

Qiufeng Shang^{1

2

3}, Feng Liu¹

Affiliations

¹ Department of Electronic and Communication Engineering, North China Electric Power University, Baoding 071003, China.
² Hebei Key Laboratory of Power Internet of Things Technology, Department of Electronic and Communication Engineering, North China Electric Power University, Baoding 071003, China.
³ Baoding Key Laboratory of Optical Fiber Sensing and Optical Communication Technology, Department of Electronic and Communication Engineering, North China Electric Power University, Baoding 071003, China.

Abstract

A reconfiguration error correction model for an FBG shape sensor (FSS) is proposed. The model includes curvature, bending direction error correction, and the self-correction of the FBG placement angle and calibration error based on an improved sparrow search algorithm (SSA). SSA could automatically correct the placement angle and calibration direction of the FBG, and then use the corrected placement angle and calibration direction to correct the curvature and bending direction of the FSS, thereby improving the accuracy of shape reconfiguration. After error correction, the tail point reconfiguration errors of different shapes were reduced from 2.56% and 4.96% to 1.12% and 2.45%, respectively. This paper provides a new reconfiguration error correction method for FSS that does not require a complicated experimental calibration process, is simpler, more efficient, and more operable than traditional methods, and has great potential in FSS application scenarios.

Keywords: FBG; curvature; error correction; optimization algorithm; shape sensor.

Grants and funding

E2019502179/Natural Science Foundation of Hebei Province