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A Method for Oscillation Errors Restriction of SINS Based on Forecasted Time Series

Continuity, real-time, and accuracy are the key technical indexes of evaluating comprehensive performance of a strapdown inertial navigation system (SINS). However, Schuler, Foucault, and Earth periodic oscillation errors significantly cut down the real-time accuracy of SINS. A method for oscillatio...

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Detalles Bibliográficos
Autores principales: Zhao, Lin, Li, Jiushun, Cheng, Jianhua, Jia, Chun, Wang, Qiufan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4541942/
https://www.ncbi.nlm.nih.gov/pubmed/26193283
http://dx.doi.org/10.3390/s150717433
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author Zhao, Lin
Li, Jiushun
Cheng, Jianhua
Jia, Chun
Wang, Qiufan
author_facet Zhao, Lin
Li, Jiushun
Cheng, Jianhua
Jia, Chun
Wang, Qiufan
author_sort Zhao, Lin
collection PubMed
description Continuity, real-time, and accuracy are the key technical indexes of evaluating comprehensive performance of a strapdown inertial navigation system (SINS). However, Schuler, Foucault, and Earth periodic oscillation errors significantly cut down the real-time accuracy of SINS. A method for oscillation error restriction of SINS based on forecasted time series is proposed by analyzing the characteristics of periodic oscillation errors. The innovative method gains multiple sets of navigation solutions with different phase delays in virtue of the forecasted time series acquired through the measurement data of the inertial measurement unit (IMU). With the help of curve-fitting based on least square method, the forecasted time series is obtained while distinguishing and removing small angular motion interference in the process of initial alignment. Finally, the periodic oscillation errors are restricted on account of the principle of eliminating the periodic oscillation signal with a half-wave delay by mean value. Simulation and test results show that the method has good performance in restricting the Schuler, Foucault, and Earth oscillation errors of SINS.
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spelling pubmed-45419422015-08-26 A Method for Oscillation Errors Restriction of SINS Based on Forecasted Time Series Zhao, Lin Li, Jiushun Cheng, Jianhua Jia, Chun Wang, Qiufan Sensors (Basel) Article Continuity, real-time, and accuracy are the key technical indexes of evaluating comprehensive performance of a strapdown inertial navigation system (SINS). However, Schuler, Foucault, and Earth periodic oscillation errors significantly cut down the real-time accuracy of SINS. A method for oscillation error restriction of SINS based on forecasted time series is proposed by analyzing the characteristics of periodic oscillation errors. The innovative method gains multiple sets of navigation solutions with different phase delays in virtue of the forecasted time series acquired through the measurement data of the inertial measurement unit (IMU). With the help of curve-fitting based on least square method, the forecasted time series is obtained while distinguishing and removing small angular motion interference in the process of initial alignment. Finally, the periodic oscillation errors are restricted on account of the principle of eliminating the periodic oscillation signal with a half-wave delay by mean value. Simulation and test results show that the method has good performance in restricting the Schuler, Foucault, and Earth oscillation errors of SINS. MDPI 2015-07-17 /pmc/articles/PMC4541942/ /pubmed/26193283 http://dx.doi.org/10.3390/s150717433 Text en © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhao, Lin
Li, Jiushun
Cheng, Jianhua
Jia, Chun
Wang, Qiufan
A Method for Oscillation Errors Restriction of SINS Based on Forecasted Time Series
title A Method for Oscillation Errors Restriction of SINS Based on Forecasted Time Series
title_full A Method for Oscillation Errors Restriction of SINS Based on Forecasted Time Series
title_fullStr A Method for Oscillation Errors Restriction of SINS Based on Forecasted Time Series
title_full_unstemmed A Method for Oscillation Errors Restriction of SINS Based on Forecasted Time Series
title_short A Method for Oscillation Errors Restriction of SINS Based on Forecasted Time Series
title_sort method for oscillation errors restriction of sins based on forecasted time series
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4541942/
https://www.ncbi.nlm.nih.gov/pubmed/26193283
http://dx.doi.org/10.3390/s150717433
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