Single-Frame Attitude Determination Methods for Nanosatellites

Single-frame methods of determining the attitude of a nanosatellite are compared in this study. The methods selected for comparison are: Single Value Decomposition (SVD), q method, Quaternion ESTimator (QUEST), Fast Optimal Attitude Matrix (FOAM) − all solving optimally the Wahba’s problem, and the...

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Main Authors: Guler Demet Cilden, Conguroglu Ece S., Hajiyev Chingiz
Format: Article
Language:English
Published: Polish Academy of Sciences 2017-06-01
Series:Metrology and Measurement Systems
Subjects:
Online Access:http://www.degruyter.com/view/j/mms.2017.24.issue-2/mms-2017-0023/mms-2017-0023.xml?format=INT
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spelling doaj-dae903caf9844dcc90f0d2e022bf0dd92020-11-25T03:11:14ZengPolish Academy of SciencesMetrology and Measurement Systems2300-19412017-06-0124231332410.1515/mms-2017-0023mms-2017-0023Single-Frame Attitude Determination Methods for NanosatellitesGuler Demet Cilden0Conguroglu Ece S.1Hajiyev Chingiz2Istanbul Technical University, Faculty of Aeronautics and Astronautics, 34469, Maslak, Istanbul, TurkeyIstanbul Technical University, Faculty of Aeronautics and Astronautics, 34469, Maslak, Istanbul, TurkeyIstanbul Technical University, Faculty of Aeronautics and Astronautics, 34469, Maslak, Istanbul, TurkeySingle-frame methods of determining the attitude of a nanosatellite are compared in this study. The methods selected for comparison are: Single Value Decomposition (SVD), q method, Quaternion ESTimator (QUEST), Fast Optimal Attitude Matrix (FOAM) − all solving optimally the Wahba’s problem, and the algebraic method using only two vector measurements. For proper comparison, two sensors are chosen for the vector observations on-board: magnetometer and Sun sensors. Covariance results obtained as a result of using those methods have a critical importance for a non-traditional attitude estimation approach; therefore, the variance calculations are also presented. The examined methods are compared with respect to their root mean square (RMS) error and variance results. Also, some recommendations are given.http://www.degruyter.com/view/j/mms.2017.24.issue-2/mms-2017-0023/mms-2017-0023.xml?format=INTattitude determinationsingle-frame methodsalgebraic methodcovariance analysisvector observation
collection DOAJ
language English
format Article
sources DOAJ
author Guler Demet Cilden
Conguroglu Ece S.
Hajiyev Chingiz
spellingShingle Guler Demet Cilden
Conguroglu Ece S.
Hajiyev Chingiz
Single-Frame Attitude Determination Methods for Nanosatellites
Metrology and Measurement Systems
attitude determination
single-frame methods
algebraic method
covariance analysis
vector observation
author_facet Guler Demet Cilden
Conguroglu Ece S.
Hajiyev Chingiz
author_sort Guler Demet Cilden
title Single-Frame Attitude Determination Methods for Nanosatellites
title_short Single-Frame Attitude Determination Methods for Nanosatellites
title_full Single-Frame Attitude Determination Methods for Nanosatellites
title_fullStr Single-Frame Attitude Determination Methods for Nanosatellites
title_full_unstemmed Single-Frame Attitude Determination Methods for Nanosatellites
title_sort single-frame attitude determination methods for nanosatellites
publisher Polish Academy of Sciences
series Metrology and Measurement Systems
issn 2300-1941
publishDate 2017-06-01
description Single-frame methods of determining the attitude of a nanosatellite are compared in this study. The methods selected for comparison are: Single Value Decomposition (SVD), q method, Quaternion ESTimator (QUEST), Fast Optimal Attitude Matrix (FOAM) − all solving optimally the Wahba’s problem, and the algebraic method using only two vector measurements. For proper comparison, two sensors are chosen for the vector observations on-board: magnetometer and Sun sensors. Covariance results obtained as a result of using those methods have a critical importance for a non-traditional attitude estimation approach; therefore, the variance calculations are also presented. The examined methods are compared with respect to their root mean square (RMS) error and variance results. Also, some recommendations are given.
topic attitude determination
single-frame methods
algebraic method
covariance analysis
vector observation
url http://www.degruyter.com/view/j/mms.2017.24.issue-2/mms-2017-0023/mms-2017-0023.xml?format=INT
work_keys_str_mv AT gulerdemetcilden singleframeattitudedeterminationmethodsfornanosatellites
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AT hajiyevchingiz singleframeattitudedeterminationmethodsfornanosatellites
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