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Online error compensation of moving-base rotating accelerometer gravity gradiometer.

Mingbiao Yu1, Tijing Cai1

  • 1Instrument Science and Engineering College, Southeast University, Nanjing 210096, China.

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Summary
This summary is machine-generated.

This study introduces an online error compensation method for rotating accelerometer gravity gradiometers (RAGG) to mitigate motion-induced errors. The technique effectively reduces RAGG motion sensitivity, ensuring stable operation.

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Area of Science:

  • Geophysics
  • Instrumentation
  • Sensor Technology

Background:

  • Imperfections in rotating accelerometer gravity gradiometers (RAGG) lead to motion sensitivity and operational saturation.
  • Accelerometer mounting errors, gain mismatch, and scale factor imbalances are key sources of RAGG susceptibility to motion.

Purpose of the Study:

  • To propose and validate an online error compensation scheme for RAGG systems.
  • To reduce RAGG motion sensitivity and compensate for motion errors using an analytical model.

Main Methods:

  • Developed a scheme for continually adjusting accelerometer linear scale factors or mounting angles.
  • Generated a compensation signal based on an analytical RAGG model.
  • Utilized a numerical RAGG model for online error compensation experiments under simulated air turbulence and angular velocity.

Main Results:

  • The RAGG online error compensation system achieved convergence in approximately 15 minutes.
  • In the converged state, motion noise density was reduced to approximately 1 E/√Hz.
  • Scale factor balances of the order of 10⁻⁹ g/g were maintained, demonstrating high precision.

Conclusions:

  • The proposed online error compensation method is effective in reducing motion sensitivity and compensating for errors in RAGG systems.
  • The experimental results validate the feasibility and performance of the developed compensation technique for imperfect RAGG operation.