Open Access

ARTICLE

Study on Initial Alignment Under Large Misalignment Angle

Qi Wang^1,2,*, Changsong Yang^2,4, Shaoen Wu³

1 School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, 210044, China.
2 Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science and Technology, Nanjing, 210044, China.
3 Department of Computer Science, Ball State University, Muncie, USA.
4 School of Automation, Nanjing University of Information Science and Technology, Nanjing, 210044, China.
* Corresponding Author: Qi Wang. Email: wangqi@nuist.edu.cn.

Journal of Information Hiding and Privacy Protection 2019, 1(3), 95-108. https://doi.org/10.32604/jihpp.2019.06054

Abstract

Misalignment angle error model describing the SINS mathematical platform error is presented in this paper following the idea of small misalignment angle error model and large azimuth misalignment angle error model. It can be considered that the three misalignment angles are independent of the rotational sequence in the misalignment error model, but not suitable in the large misalignment error model. The error angle of Euler platform is used to represent the three misalignment angles from theoretical navigation coordinate system to computational navigation coordinate system. The Euler platform error angle is utilized to represent the mathematical platform error and its physical meaning is very clear. The SINS nonlinear error model is deduced by using the error angle of Euler platform and is simplified under the condition of large azimuth error and small error. The simplified results are more comprehensive and accurate than the large azimuth misalignment error model. The damping SINS algorithm and its error model are proposed to change the structure of the strapdown inertial navigation algorithm by using the external damping information. The accuracy of SINS error model of large Euler platform error angle is simulated, and has strong practicability in initial alignment and is conducive to reducing the amount of calculation.

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Keywords

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