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Scale Factor Calibration for a Rotating Accelerometer Gravity Gradiometer.

Zhongguang Deng1, Chenyuan Hu2, Xiangqing Huang3

  • 1MOE Key Laboratory of Fundamental Physical Quantities Measurement & Hubei Key Laboratory of Gravitation and Quantum Physics, PGMF and School of Physics, Huazhong University of Science and Technology, Wuhan 430074, China. dzg_109@hust.edu.cn.

Sensors (Basel, Switzerland)
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Summary
This summary is machine-generated.

A new calibration system effectively determines the scale factor for Rotating Accelerometer Gravity Gradiometers (RAGGs), crucial for resource exploration and navigation. This method works even with surrounding mass disturbances, ensuring accurate instrument performance.

Keywords:
accelerometergravity gradient measurementrotating accelerometer gravity gradiometerscale factorstatic-platform calibration

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Area of Science:

  • Geophysics
  • Instrumentation
  • Metrology

Background:

  • Rotating Accelerometer Gravity Gradiometers (RAGGs) are vital for resource exploration and gravity-aided navigation.
  • Accurate scale factor calibration is critical for RAGG instrument performance.

Purpose of the Study:

  • To propose and validate a novel calibration system for RAGGs.
  • To achieve effective scale factor determination, even in the presence of mass disturbances.

Main Methods:

  • Orthogonally assembling four consistent metal spring-based accelerometers onto a rotary table.
  • Measuring spatial gravity gradient variations by altering the approach of a reference gravity gradient excitation object.

Main Results:

  • Successfully detected a 260 kg gravity gradient excitation mass within 1.6 m.
  • Obtained a RAGG scale factor of (5.4 ± 0.2) E/μV, consistent with simulations.
  • Identified positioning error as the primary limitation, suggesting improvements with higher accuracy position rails.

Conclusions:

  • The proposed calibration system is effective and repeatable for RAGGs.
  • Future field tests are expected to demonstrate enhanced RAGG efficiency and reliability.
  • Improvements in positioning accuracy can further optimize the calibration scheme.