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Attitude Angle Compensation for a Synchronous Acquisition Method Based on an MEMS Sensor.

Huanhuan Tian1, Yixiao Liu2, Jiqin Zhou3

  • 1College of Information Engineering, Capital Normal University, Beijing 100048, China. entele_thh@163.com.

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Summary

This study introduces a synchronous acquisition scheme for Quartz Vibrating Beam Accelerometers (QVBA) and gyroscopes in strapdown inertial navigation systems (SINS). The improved method enhances attitude angle measurement accuracy and speed, crucial for navigation applications.

Keywords:
FPUQuartz Vibrating Beam Accelerometerattitude angle compensationimproved equal-precision frequency measurementstrapdown inertial navigation system

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Area of Science:

  • * Micro-Electro-Mechanical Systems (MEMS)
  • * Inertial Navigation Systems (INS)

Background:

  • * Quartz Vibrating Beam Accelerometers (QVBA) are vital MEMS inertial sensors for applications like robotics and navigation.
  • * Synchronization errors between accelerometer and gyroscope attitude angle measurements degrade accuracy.
  • * Accurate attitude angle compensation is essential for improving measurement precision in navigation systems.

Purpose of the Study:

  • * To propose a synchronous acquisition scheme for accelerometer and gyroscope attitude angles in strapdown inertial navigation systems (SINS).
  • * To enhance the sampling accuracy and conversion speed of QVBA.
  • * To improve the overall measurement accuracy and speed of SINS.

Main Methods:

  • * Implementation of a synchronous acquisition scheme for accelerometer and gyroscope attitude angles.
  • * Development of an improved equal-precision frequency measuring method for QVBA.
  • * Utilization of a hardware floating-point unit (FPU) to accelerate frequency measurement calculations.

Main Results:

  • * Achieved long-term cumulative error of the frequency measurement value below 10^-4.
  • * Reduced calculation process time from sampling to attitude angle compensation by 40.8%.
  • * Demonstrated significant improvements in measurement accuracy and speed for SINS.

Conclusions:

  • * The proposed synchronous acquisition scheme effectively mitigates synchronization errors in SINS.
  • * The improved frequency measuring method enhances QVBA performance, increasing sampling accuracy and conversion speed.
  • * This work significantly boosts the measurement accuracy and operational speed of SINS, benefiting various navigation applications.