Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Bani Younes, Ahmad, Mortari, Daniele
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
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
_version_ 1783471947980472320
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