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Academic Journal of Computing & Information Science, 2022, 5(12); doi: 10.25236/AJCIS.2022.051201.

Performance Analysis of Three Attitude Algorithms for SINS

Author(s)

Zhiguo Zhang1,2, Lijie Geng1,2, Yafeng Fan1,2

Corresponding Author:
Zhiguo Zhang
Affiliation(s)

1R&D Department, Hebei Feiran Technoliogy Co., LTD, Shijiazhuang, China

2Laboratory of Intelligent Detection and Control in Flight, Shijiazhuang, China

Abstract

The attitude algorithms can enormously affect the navigation accuracy of SINS and Runge-kutta algorithm, Peano-Baker approximation algorithm and rotation vector algorithm are the common algorithms in engineering application. Analysis and comparison are done to the above three algorithms in this paper, the three algorithms are simulated and verified under coning motion and the result show that under the condition of low angle vibration , fourth-order Runge-kutta algorithm has the best comprehensiveperformance.

Keywords

Runge-kutta algorithm, Rotation vector algorithm, Peano-Baker approximation algorithm, Conical motion

Cite This Paper

Zhiguo Zhang, Lijie Geng, Yafeng Fan. Performance Analysis of Three Attitude Algorithms for SINS. Academic Journal of Computing & Information Science (2022), Vol. 5, Issue 12: 1-5. https://doi.org/10.25236/AJCIS.2022.051201.

References

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