A Novel Method for Damping State Switching Based on Machine Learning of a Strapdown Inertial Navigation System
Abstract
:1. Introduction
2. External Horizontal Damping Network Design
2.1. Principle of External Horizontal Damping Network
2.2. Adaptive Parameter Design Principle of Damping Network
2.3. Discrete Method of Damping Network
3. Damping State Identification Method Based on Support Vector Machine
3.1. The Effect of Reference Velocity Errors on SINS
3.2. Principle of Damping State Switching Method Based on Support Vector Machine Detection
3.3. Overshoot Error Suppression Principle
4. System Simulation Test
5. Ship Testing and Verification
6. Conclusions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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Performance | Gyroscope | Accelerometer |
---|---|---|
Measuring Range | ±200 deg/s | ±15 g |
Update Rate | 200 Hz | 200 Hz |
Constant Drift | <0.02 deg/h | <50 μg |
Performance | DVL |
---|---|
Accuracy level | 0.5 %V ± 0.5 cm/s |
Speed range (backward movement is −) | −10 knot~20 knot |
Update rate | 1 Hz |
Operating rate | 300 Hz |
Bottom tracking depth | 300 m |
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Lyu, X.; Zhu, J.; Wang, J.; Dong, R.; Qian, S.; Hu, B. A Novel Method for Damping State Switching Based on Machine Learning of a Strapdown Inertial Navigation System. Electronics 2024, 13, 3439. https://doi.org/10.3390/electronics13173439
Lyu X, Zhu J, Wang J, Dong R, Qian S, Hu B. A Novel Method for Damping State Switching Based on Machine Learning of a Strapdown Inertial Navigation System. Electronics. 2024; 13(17):3439. https://doi.org/10.3390/electronics13173439
Chicago/Turabian StyleLyu, Xu, Jiupeng Zhu, Jungang Wang, Ruiqi Dong, Shiyi Qian, and Baiqing Hu. 2024. "A Novel Method for Damping State Switching Based on Machine Learning of a Strapdown Inertial Navigation System" Electronics 13, no. 17: 3439. https://doi.org/10.3390/electronics13173439