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Fast Fine Initial Self-alignment of INS in Erecting Process on Stationary Base

Published online by Cambridge University Press:  06 December 2017

Jianli Li Open the ORCID record for Jianli Li [Opens in a new window] ,
Yiqi Li Open the ORCID record for Yiqi Li [Opens in a new window]  and
Baiqi Liuxs
Jianli Li*
Affiliation:
(Beijing University of Aeronautics and Astronautics, School of Instrumentation Science & Opto-electronics Engineering, Beijing 100191, China) (The National Key Lab of satellite navigation system and equipment technology, Shijiazhuang 050081, China)
Yiqi Li
Affiliation:
(Beijing University of Aeronautics and Astronautics, School of Instrumentation Science & Opto-electronics Engineering, Beijing 100191, China)
Baiqi Liuxs
Affiliation:
(China Academy of Launch Vehicle Technology, Research and Development Center, Beijing 100191, China)
*
(E-mail: [email protected])
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Abstract

Fine initial alignment is vital to the Inertial Navigation System (INS) before the launching of a missile. The existing initial alignment methods are mainly performed on a stationary base after the missile has been erected to the vertical state. However, these methods consume extra alignment time and some state variables have poor degrees of observability, thus losing the rapidity of alignment. In order to solve the problem, a fast fine initial self-alignment method of a missile-borne INS is proposed, which is performed during the erecting process on a stationary base. The convected Euler angle error is modelled to optimise the erecting manoeuvre which can prevent large Euler angle errors and improve the system observability. The fine initial alignment model is established to estimate and correct the initial misalignment. Several experiments verify that the proposed method is effective for improving the rapidity of the fine initial alignment for a missile-borne INS.

Keywords

Self-alignmentErecting manoeuvreConvected Euler angle error
Type
Research Article
Information
The Journal of Navigation , Volume 71 , Issue 3 , May 2018 , pp. 697 - 710
Copyright
Copyright © The Royal Institute of Navigation 2017 

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References

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