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Enhanced Dual-Axis Rotation Modulation Scheme for Inertial Navigation Systems Using a 64-Position Approach.

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A new dual-axis rotation strategy enhances strapdown inertial navigation systems (SINS) by optimizing inertial measurement unit (IMU) reorientation. This method significantly reduces navigation errors for improved real-time accuracy.

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Area of Science:

  • Navigation Systems Engineering
  • Inertial Navigation
  • Sensor Error Analysis

Background:

  • Strapdown inertial navigation systems (SINS) utilize rotational modulation of inertial measurement units (IMUs) to mitigate sensor errors.
  • Existing dual-axis rotation schemes suffer from accumulated rotation angles and delayed error balancing, leading to residual attitude errors and reduced navigation accuracy.

Purpose of the Study:

  • To develop an improved dual-axis rotational strategy for SINS that overcomes the limitations of existing methods.
  • To maximize error cancellation across axes while constraining cumulative rotation for enhanced real-time navigation performance.

Main Methods:

  • Proposed an odd-symmetric dual-axis rotation strategy optimizing rotation order and dwell positions.
  • Designed a 64-position rotation scheme to analyze IMU error modulation/suppression characteristics (gyroscope drift, accelerometer bias, scale-factor errors, misalignment).
  • Quantified the effects of these errors on attitude and velocity using simulations and experiments.

Main Results:

  • Simulations demonstrated over 60% reduction in position and velocity errors compared to a 16-position scheme.
  • The proposed scheme reduced longitude, east-velocity, and yaw errors by more than 30% compared to a 32-position scheme.
  • Experimental validation confirmed consistent improvements in position, velocity, and attitude accuracy.

Conclusions:

  • The proposed odd-symmetric dual-axis rotation strategy effectively enhances SINS accuracy by minimizing residual attitude and velocity errors.
  • The 64-position scheme offers superior performance in error suppression and navigation precision for dual-axis SINS applications.