
Proceedings Paper
The mixed level damping of the single-axial rotation of INSFormat | Member Price | Non-Member Price |
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Paper Abstract
In order to improve the accuracy of the Single-axial Rotation of INS (SRINS), the idea of the level damping of the
platform INS is introduced to the system, and the principle of the damping is offered. On the basic of analyzing on both
of inner level damping and outer level damping, the mixed level damping is put forward. The results show that by
introducing the damping network to the system, both of the Schuler oscillation and the Foucault oscillation are
eliminated, and the precision of the SRINS is greatly enhanced; At the same time, by used of the mixed level damping,
which can not only reduce the effect of the vehicle power-driven to the precision of the system, but also avoid the limit
of the accurate reference velocity.
Paper Details
Date Published: 12 January 2012
PDF: 5 pages
Proc. SPIE 8350, Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies, 83500J (12 January 2012); doi: 10.1117/12.920453
Published in SPIE Proceedings Vol. 8350:
Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies
Safaa S. Mahmoud; Zhu Zeng; Yuting Li, Editor(s)
PDF: 5 pages
Proc. SPIE 8350, Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies, 83500J (12 January 2012); doi: 10.1117/12.920453
Show Author Affiliations
Chao Wang, Navy Submarine Academy (China)
Hai Zhu, Navy Submarine Academy (China)
Hai Zhu, Navy Submarine Academy (China)
Gang Li, Navy Submarine Academy (China)
Dayuan Gao, Navy Submarine Academy (China)
Dayuan Gao, Navy Submarine Academy (China)
Published in SPIE Proceedings Vol. 8350:
Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies
Safaa S. Mahmoud; Zhu Zeng; Yuting Li, Editor(s)
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