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     Research Journal of Applied Sciences, Engineering and Technology


An Engineering Accuracy Estimation Method for Transfer Alignment

Yang Jinxian and Li Zhipeng
School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo, Hennan, 454003, China
Research Journal of Applied Sciences, Engineering and Technology  2013  9:1658-1662
http://dx.doi.org/10.19026/rjaset.6.3886  |  © The Author(s) 2013
Received: January 10, 2013  |  Accepted: January 31, 2013  |  Published: July 15, 2013

Abstract

Aimed at characteristics of transfer alignment on a moving base-guided vehicle, a kind of accuracy estimation method was proposed. The navigation accuracy was mostly caused by attitude error and the simplified relation between transfer alignment error and velocity error was derived according to velocity error formula. After transfer alignment, the system entered into the navigation under similar flight and velocity error was measured in short time, further attitude alignment error was anti-derived. The yaw angle error was estimated by calculating reproducibility of the difference between major and slave inertial navigation system. Pitch and roll angle error were estimated by calculating reproducibility of velocity error between major and slave inertial navigation system. Experiments data show that the alignment accuracy meets the target and it is suitable for engineering application.

Keywords:

Accuracy estimation, guided vehicle, transfer alignment, test analysis,


References


Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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