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A Dual-Axis Rotation Scheme for Redundant Rotational Inertial Navigation System
Ting Zhu1, Lifen Wang2, Tao Zou2
1School of Automation, Guangxi University of Science and Technology, Liuzhou 545006, China.
A new dual-axis rotation scheme enhances redundant rotational inertial navigation systems (RRINS). This method improves navigation accuracy by addressing the complex error model of the redundant inertial measurement unit (RIMU).
Area of Science:
- Navigation Systems Engineering
- Inertial Navigation
- Sensor Fusion
Background:
- Redundant rotational inertial navigation systems (RRINS) utilize redundant inertial measurement units (RIMUs) and turntables to enhance reliability and accuracy.
- The complex error model of RIMUs necessitates specialized rotation schemes, differing from traditional inertial measurement units (IMUs).
- Existing rotation schemes are inadequate for RIMU configurations, limiting performance improvements.
Purpose of the Study:
- To propose a novel dual-axis rotation scheme specifically designed for the characteristics of RIMUs in RRINS.
- To analyze RIMU error compensation through rotation and establish a robust error model.
- To enhance the positioning accuracy of RRINS through optimized rotation strategies.
Main Methods:
- Established a detailed error model for the RIMU.
- Analyzed error compensation effects resulting from rotational maneuvers.
- Developed a dual-axis rotation scheme based on principles of rotation axis switching and reciprocating rotation.
- Implemented and validated the scheme on an RRINS prototype using simulations and experimental tests.
Main Results:
- The proposed dual-axis rotation scheme effectively addresses RIMU error characteristics.
- Simulations and experiments demonstrated significant improvements in RRINS positioning accuracy.
- The developed scheme offers a viable solution for enhancing navigation performance in complex inertial systems.
Conclusions:
- The novel dual-axis rotation scheme is effective for RIMU-based RRINS.
- This approach demonstrably improves positioning accuracy compared to conventional methods.
- The findings provide a foundation for more reliable and accurate inertial navigation solutions.
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