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Derivation of All Attitude Error Governing Equations for Attitude Filtering and Control
This article presents the full analytical derivations of the attitude error kinematics equations. This is done for several attitude error representations, obtaining compact closed-forms expressions. Attitude error is defined as the rotation between true and estimated orientations. Two distinct appro...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6864719/ https://www.ncbi.nlm.nih.gov/pubmed/31661885 http://dx.doi.org/10.3390/s19214682 |
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author | Bani Younes, Ahmad Mortari, Daniele |
author_facet | Bani Younes, Ahmad Mortari, Daniele |
author_sort | Bani Younes, Ahmad |
collection | PubMed |
description | This article presents the full analytical derivations of the attitude error kinematics equations. This is done for several attitude error representations, obtaining compact closed-forms expressions. Attitude error is defined as the rotation between true and estimated orientations. Two distinct approaches to attitude error kinematics are developed. In the first, the estimated angular velocity is defined in the true attitude axes frame, while in the second, it is defined in the estimated attitude axes frame. The first approach is of interest in simulations where the true attitude is known, while the second approach is for real estimation/control applications. Two nonlinear kinematic models are derived that are valid for arbitrarily large rotations and rotation rates. The results presented are expected to be broadly useful to nonlinear attitude estimation/control filtering formulations. A discussion of the benefits of the derived error kinematic models is included. |
format | Online Article Text |
id | pubmed-6864719 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-68647192019-12-23 Derivation of All Attitude Error Governing Equations for Attitude Filtering and Control Bani Younes, Ahmad Mortari, Daniele Sensors (Basel) Article This article presents the full analytical derivations of the attitude error kinematics equations. This is done for several attitude error representations, obtaining compact closed-forms expressions. Attitude error is defined as the rotation between true and estimated orientations. Two distinct approaches to attitude error kinematics are developed. In the first, the estimated angular velocity is defined in the true attitude axes frame, while in the second, it is defined in the estimated attitude axes frame. The first approach is of interest in simulations where the true attitude is known, while the second approach is for real estimation/control applications. Two nonlinear kinematic models are derived that are valid for arbitrarily large rotations and rotation rates. The results presented are expected to be broadly useful to nonlinear attitude estimation/control filtering formulations. A discussion of the benefits of the derived error kinematic models is included. MDPI 2019-10-28 /pmc/articles/PMC6864719/ /pubmed/31661885 http://dx.doi.org/10.3390/s19214682 Text en © 2019 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 (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Bani Younes, Ahmad Mortari, Daniele Derivation of All Attitude Error Governing Equations for Attitude Filtering and Control |
title | Derivation of All Attitude Error Governing Equations for Attitude Filtering and Control |
title_full | Derivation of All Attitude Error Governing Equations for Attitude Filtering and Control |
title_fullStr | Derivation of All Attitude Error Governing Equations for Attitude Filtering and Control |
title_full_unstemmed | Derivation of All Attitude Error Governing Equations for Attitude Filtering and Control |
title_short | Derivation of All Attitude Error Governing Equations for Attitude Filtering and Control |
title_sort | derivation of all attitude error governing equations for attitude filtering and control |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6864719/ https://www.ncbi.nlm.nih.gov/pubmed/31661885 http://dx.doi.org/10.3390/s19214682 |
work_keys_str_mv | AT baniyounesahmad derivationofallattitudeerrorgoverningequationsforattitudefilteringandcontrol AT mortaridaniele derivationofallattitudeerrorgoverningequationsforattitudefilteringandcontrol |