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In-Flight Alignment Using H (∞) Filter for Strapdown INS on Aircraft

In-flight alignment is an effective way to improve the accuracy and speed of initial alignment for strapdown inertial navigation system (INS). During the aircraft flight, strapdown INS alignment was disturbed by lineal and angular movements of the aircraft. To deal with the disturbances in dynamic i...

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Detalles Bibliográficos
Autores principales: Pei, Fu-Jun, Liu, Xuan, Zhu, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3913393/
https://www.ncbi.nlm.nih.gov/pubmed/24511300
http://dx.doi.org/10.1155/2014/820305
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author Pei, Fu-Jun
Liu, Xuan
Zhu, Li
author_facet Pei, Fu-Jun
Liu, Xuan
Zhu, Li
author_sort Pei, Fu-Jun
collection PubMed
description In-flight alignment is an effective way to improve the accuracy and speed of initial alignment for strapdown inertial navigation system (INS). During the aircraft flight, strapdown INS alignment was disturbed by lineal and angular movements of the aircraft. To deal with the disturbances in dynamic initial alignment, a novel alignment method for SINS is investigated in this paper. In this method, an initial alignment error model of SINS in the inertial frame is established. The observability of the system is discussed by piece-wise constant system (PWCS) theory and observable degree is computed by the singular value decomposition (SVD) theory. It is demonstrated that the system is completely observable, and all the system state parameters can be estimated by optimal filter. Then a H (∞) filter was designed to resolve the uncertainty of measurement noise. The simulation results demonstrate that the proposed algorithm can reach a better accuracy under the dynamic disturbance condition.
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spelling pubmed-39133932014-02-09 In-Flight Alignment Using H (∞) Filter for Strapdown INS on Aircraft Pei, Fu-Jun Liu, Xuan Zhu, Li ScientificWorldJournal Research Article In-flight alignment is an effective way to improve the accuracy and speed of initial alignment for strapdown inertial navigation system (INS). During the aircraft flight, strapdown INS alignment was disturbed by lineal and angular movements of the aircraft. To deal with the disturbances in dynamic initial alignment, a novel alignment method for SINS is investigated in this paper. In this method, an initial alignment error model of SINS in the inertial frame is established. The observability of the system is discussed by piece-wise constant system (PWCS) theory and observable degree is computed by the singular value decomposition (SVD) theory. It is demonstrated that the system is completely observable, and all the system state parameters can be estimated by optimal filter. Then a H (∞) filter was designed to resolve the uncertainty of measurement noise. The simulation results demonstrate that the proposed algorithm can reach a better accuracy under the dynamic disturbance condition. Hindawi Publishing Corporation 2014-01-06 /pmc/articles/PMC3913393/ /pubmed/24511300 http://dx.doi.org/10.1155/2014/820305 Text en Copyright © 2014 Fu-Jun Pei et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Pei, Fu-Jun
Liu, Xuan
Zhu, Li
In-Flight Alignment Using H (∞) Filter for Strapdown INS on Aircraft
title In-Flight Alignment Using H (∞) Filter for Strapdown INS on Aircraft
title_full In-Flight Alignment Using H (∞) Filter for Strapdown INS on Aircraft
title_fullStr In-Flight Alignment Using H (∞) Filter for Strapdown INS on Aircraft
title_full_unstemmed In-Flight Alignment Using H (∞) Filter for Strapdown INS on Aircraft
title_short In-Flight Alignment Using H (∞) Filter for Strapdown INS on Aircraft
title_sort in-flight alignment using h (∞) filter for strapdown ins on aircraft
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3913393/
https://www.ncbi.nlm.nih.gov/pubmed/24511300
http://dx.doi.org/10.1155/2014/820305
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