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Analysis and Compensation of Modulation Angular Rate Error Based on Missile-Borne Rotation Semi-Strapdown Inertial
Jiayu Zhang1,2, Jie Li3,4, Xi Zhang5,6
1Key Laboratory of Instrumentation Science & Dynamic Measurement, Ministry of Education, North University of China, Taiyuan 030051, China. 18734196406@163.com.
This study introduces a Rotation Semi-Strapdown Inertial Navigation System (RSSINS) to improve missile navigation accuracy. A new method compensates for modulation angular rate errors, enabling high-precision autonomous navigation using micro-electro-mechanical-systems inertial measurement units.
Area of Science:
- Navigation Systems
- Inertial Navigation
- Missile Technology
Background:
- Semi-Strapdown Inertial Navigation Systems (SSINS) are used for attitude measurement in high-speed rotating missiles.
- Micro-electro-mechanical-systems (MEMS) inertial measurement units (MIMUs) suffer from significant sensor errors, impacting navigation precision.
Purpose of the Study:
- To introduce Rotation Semi-Strapdown Inertial Navigation System (RSSINS) technology to improve navigation precision.
- To analyze the influence of modulation angular rate errors on RSSINS navigation accuracy.
- To propose a new compensation method for sensor errors without external aid.
Main Methods:
- Rotation modulation technology (RSSINS) was applied to SINS.
- The impact of modulation angular rate error, including acceleration-deceleration and instability, was analyzed.
- A novel compensation method was developed to mitigate sensor errors.
Main Results:
- The study deduced the influence of modulation angular rate errors on RSSINS navigation accuracy.
- Error characteristics of the reciprocating rotation scheme were analyzed.
- Experimental validation confirmed the performance of the proposed compensation method.
Conclusions:
- The proposed method effectively compensates for modulation angular rate errors under various dynamic conditions.
- High-precision autonomous navigation is achievable with MIMUs even without external aid.
- The method enhances the reliability and accuracy of inertial navigation systems in challenging environments.
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