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Related Experiment Video

Updated: Dec 24, 2025

A Random-displacement Measurement by Combining a Magnetic Scale and Two Fiber Bragg Gratings
08:23

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Airborne Distributed Position and Orientation System Transfer Alignment Method Based on Fiber Bragg Grating.

Wen Ye1, Bin Gu2, Yun Wang3

  • 1Division of Mechanics and Acoustic Metrology, National Institute of Metrology, Beijing 100029, China.

Sensors (Basel, Switzerland)
|April 15, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a fiber Bragg grating transfer alignment model to compensate for flexible wing deformation in high-resolution remote sensing. The new method significantly improves the accuracy of position and orientation systems, overcoming limitations of traditional rigid compensation techniques.

Keywords:
distributed position and orientation systemfiber bragg gratingtransfer alignmentwing deformation measurement

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Area of Science:

  • Aerospace Engineering
  • Optical Engineering
  • Sensor Technology

Background:

  • High-resolution remote sensing requires advanced imaging technologies like load array technology.
  • Flexible deformation of aircraft wings due to external flow and internal vibrations poses a challenge for traditional rigid baseline error compensation.
  • Coupled movement errors caused by flexible deformation degrade the accuracy of position and orientation systems.

Purpose of the Study:

  • To propose a novel transfer alignment model using fiber Bragg gratings (FBG) to address flexible deformation in distributed position and orientation systems.
  • To develop a method for accurately measuring and compensating for wing surface deformation.
  • To enhance the measurement accuracy of slave inertial navigation systems through improved transfer alignment.

Main Methods:

  • Designed an FBG layout scheme to capture multidimensional flexible deformation information.
  • Utilized quadratic fitting of FBG strain measurements to calculate continuous surface strain, deformation displacement, and angle.
  • Established a state equation incorporating position error, velocity error, misalignment angle, and inertial device error for compensation.
  • Employed filtering estimation with compensated flexible lever arm information to improve navigation system accuracy.

Main Results:

  • Successfully calculated continuous strain, displacement, and angles of flexible wing deformation using FBGs.
  • Developed and implemented a flexible deformation compensation strategy for distributed position and orientation systems.
  • Demonstrated significant improvement in the accuracy of transfer alignment through experimental validation.
  • Enhanced the measurement accuracy of slave inertial navigation systems.

Conclusions:

  • The proposed fiber Bragg grating-based transfer alignment model effectively compensates for flexible wing deformation.
  • This approach overcomes the limitations of rigid baseline methods in addressing coupled movement errors.
  • The study validates a significant improvement in transfer alignment accuracy, crucial for high-resolution remote sensing applications.