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Optimal Rotational Angular Velocity Determination Method Based on Compound Rotary Semi-Strapdown Inertial Navigation
Chenming Zhang1, Jie Li1, Xiaoqiao Yuan1
1National Key Laboratory for Electronic Measurement Technology, North University of China, Taiyuan 030051, China.
Compound rotation modulation (CRM) improves guided missile navigation by modulating roll-axis errors. This study introduces an optimal rotation angular velocity method (K-value method) to enhance rotary semi-strapdown inertial navigation system (RSSINS) accuracy.
Area of Science:
- Navigation Systems
- Aerospace Engineering
- Control Theory
Background:
- Single-axis rotation modulation (SRM) in guided missiles accumulates roll-axis errors, compromising navigation accuracy.
- Compound rotation modulation (CRM) enhances SRM by superimposing one-dimensional rotation to modulate roll-axis errors.
- The effectiveness of CRM is influenced by Inertial Measurement Unit (IMU) errors and modulation angular velocity.
Purpose of the Study:
- To propose an optimal rotation angular velocity determination method for improving the accuracy of rotary semi-strapdown inertial navigation systems (RSSINS).
- To analyze residual errors within the CRM scheme.
- To investigate the relationship between incomplete modulation error and modulation angular velocity in CRM.
Main Methods:
- Analysis of residual errors in the compound rotation modulation (CRM) scheme.
- Discussion of the relationship between incomplete modulation error and modulation angular velocity.
- Proposal of the K-value method for determining optimal modulation angular velocity.
Main Results:
- The K-value method effectively determines the optimal modulation angular velocity for CRM.
- The proposed method significantly improves navigation accuracy in guided projectiles.
- Error suppression in CRM is optimized by selecting the appropriate modulation angular velocity.
Conclusions:
- The K-value method offers an effective solution for optimizing modulation angular velocity in CRM.
- Implementing the K-value method enhances the navigation accuracy of guided projectiles.
- This approach addresses the limitations of SRM and improves the performance of RSSINS.
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