Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)

Research on Initial Alignment of All-Attitude Inertial Platform on Static Base

Authors
Hongjie Zhang, Shifeng Zhang
Corresponding Author
Hongjie Zhang
Available Online May 2017.
DOI
10.2991/msmee-17.2017.98How to use a DOI?
Keywords
platform inertial navigation system, inertial alignment, analytic alignment, closed-loop EKF.
Abstract

In view of the current problem that long alignment time and low alignment accuracy in traditional alignment methods, a new two-step alignment method is proposed in this paper. This method consists of the coarse and accurate alignment. The feature of gravity vector is used to carry out the analytic coarse alignment. And by applying torque to the platform, the accurate alignment is carried out with extended Kalman filter (EKF). Simulation results show that the estimation error of the azimuthal misalignment angle can converge to less than in eight minutes.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)
Series
Advances in Engineering Research
Publication Date
May 2017
ISBN
10.2991/msmee-17.2017.98
ISSN
2352-5401
DOI
10.2991/msmee-17.2017.98How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Hongjie Zhang
AU  - Shifeng Zhang
PY  - 2017/05
DA  - 2017/05
TI  - Research on Initial Alignment of All-Attitude Inertial Platform on Static Base
BT  - Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)
PB  - Atlantis Press
SP  - 493
EP  - 499
SN  - 2352-5401
UR  - https://doi.org/10.2991/msmee-17.2017.98
DO  - 10.2991/msmee-17.2017.98
ID  - Zhang2017/05
ER  -