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Analysis of Gyro Bias Depending on the Position of Inertial Measurement Unit in Rotational Inertial Navigation
Yeong-Bin Seo1, Haesung Yu2, Kyungdon Ryu2
1Weapon System Engineering, University of Science and Technology, Daejeon 34113, Korea.
This study introduces a new calibration method to improve ring-laser-gyro-based rotational inertial navigation system (RINS) performance. The method compensates for gyro bias changes based on inertial measurement unit (IMU) position, enhancing navigation accuracy.
Area of Science:
- Navigation Systems Engineering
- Inertial Navigation Technology
- Sensor Calibration Techniques
Background:
- Ring-laser-gyro-based rotational inertial navigation systems (RINS) are crucial for navigation but susceptible to inertial sensor errors.
- Conventional RINS designs assume sensor errors are position-independent, neglecting factors like temperature and gravity variations.
- These position-dependent errors, particularly gyro bias, degrade long-term navigation performance.
Purpose of the Study:
- To propose and validate a novel calibration method for gyro bias in RINS.
- To address the degradation of navigation performance caused by position-dependent gyro bias in RLG-based RINS.
- To enhance the accuracy and reliability of RINS through improved calibration.
Main Methods:
- Review of RINS using a dual-axis 16-position rotation scheme and ring-laser-gyros (RLG).
- Derivation of attitude error using navigation equations, analyzing the impact of gyro bias changes.
- Implementation of system-level indirect calibrations for Z-axis up and down positions to quantify bias variations.
Main Results:
- Analysis confirmed that changes in IMU attitude significantly affect gyro bias and RINS navigation performance.
- The proposed calibration method effectively calculates gyro bias changes related to IMU attitude.
- Long-term navigation tests demonstrated superior performance of the proposed method over conventional approaches.
Conclusions:
- The developed calibration method successfully compensates for position-dependent gyro bias in RLG-based RINS.
- This approach significantly improves the long-term navigation accuracy of RINS.
- The findings offer a practical solution for enhancing the reliability of inertial navigation systems.
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