Fiber Bragg Grating-based sensor system for sensing the shape of flexible needles

Zhang, L.; Li, Changle; Dong, Hui; Liu, Xiaojing; Sun, Tao; Grattan, K. T. V.; Zhao, Jie

doi:10.1016/j.measurement.2022.112251

Cited by 13 publications

(1 citation statement)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This technology has several advantages, such as compact structure, high flexibility, resistance to harsh environments and corrosion, and reusability, compared with other shape reconfiguration technologies. The FSS has immense application potential in civil, mechanical, aerospace, biological, medical, and other fields [ 1 , 2 , 3 , 4 , 5 , 6 ].…”

Section: Introductionmentioning

confidence: 99%

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

Shang

Feng

2023

Sensors

View full text Add to dashboard Cite

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.

show abstract