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Area of Science:

  • Navigation Systems Engineering
  • Sensor Technology
  • Mechatronics

Background:

  • Attitude determination is crucial for tracking moving objects.
  • Micro Electro Mechanic System (MEMS) sensors offer affordable attitude measurement but require calibration.
  • Existing Strapdown Inertial Attitude Measurement Systems (SIAMS) need error compensation for accuracy.

Purpose of the Study:

  • To develop a MEMS-based rotary SIAMS with automatic bias compensation.
  • To achieve performance comparable to tactical-grade Inertial Measurement Units (IMUs).
  • To improve MEMS attitude accuracy by modulating and compensating sensor errors.

Main Methods:

  • Deriving a MEMS calibration model based on error-misalignment relationships.
  • Applying a multi-position rotation calibration method to estimate deterministic sensor errors (bias, scale factor, misalignment).
  • Utilizing automatic sensor bias compensation through IMU rotation within the SIAMS.

Main Results:

  • The proposed rotary SIAMS effectively modulates and compensates for MEMS sensor errors.
  • Simulation and experimental results demonstrate improved attitude accuracy.
  • The system shows performance comparable to tactical-grade IMUs.

Conclusions:

  • The developed MEMS-based rotary SIAMS offers a cost-effective solution for accurate attitude determination.
  • Automatic bias compensation via IMU rotation significantly enhances MEMS sensor performance.
  • This approach bridges the performance gap between MEMS and tactical-grade inertial systems.