An Improved Online Self-Calibration Method Utilizing Angular Velocity Observation for Ultra High Accuracy PIGA-Based
Yongfeng Zhang1, Shuling Hu1, Gongliu Yang1
1School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100083, China.
This study introduces an improved online self-calibration method for pendulous integrating gyroscopic accelerometers (PIGA) using angular velocity observation. The method enhances PIGA calibration accuracy, improving overall dynamic performance.
Area of Science:
- Instrumentation and Measurement
- Aerospace Engineering
- Control Systems
Background:
- Pendulous Integrating Gyroscopic Accelerometers (PIGA) are crucial for ultra-high accuracy Inertial Measurement Units (IMUs).
- PIGA's sensitivity to angular velocity complicates calibration, hindering online self-calibration.
- Existing methods struggle with the complexity of PIGA calibration for real-time applications.
Purpose of the Study:
- To develop an effective online self-calibration method for PIGA-based IMUs.
- To address the challenges posed by PIGA's sensitivity to angular velocity.
- To enhance the dynamic accuracy of PIGA systems through improved calibration.
Main Methods:
- Conducted a detailed error analysis of PIGA.
- Simplified the PIGA error model for self-calibration suitability.
- Proposed an improved online self-calibration method leveraging angular velocity observation.
Main Results:
- The proposed self-calibration method effectively improves PIGA online calibration accuracy.
- Achieved calibration accuracy within 0.02 m/s/pulse.
- Demonstrated significant enhancement in the dynamic accuracy of the PIGA.
Conclusions:
- The developed online self-calibration method is effective for PIGA systems.
- The simplified error model facilitates practical implementation of self-calibration.
- This advancement contributes to more robust and accurate inertial measurement units.
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