Details

Title

Nanosatellite Attitude Estimation from Vector Measurements Using SVD-Aided UKF Algorithm

Journal title

Metrology and Measurement Systems

Yearbook

2017

Volume

vol. 24

Issue

No 1

Authors

Keywords

attitude estimation ; nanosatellite ; UKF ; SVD ; SVD-Aided UKF

Divisions of PAS

Nauki Techniczne

Publisher

Polish Academy of Sciences Committee on Metrology and Scientific Instrumentation

Date

2017.03.30

Type

Artykuły / Articles

Identifier

DOI: 10.1515/mms-2017-0011 ; ISSN 2080-9050, e-ISSN 2300-1941

Source

Metrology and Measurement Systems; 2017; vol. 24; No 1

Pages

113-125

References

Julier (1995), A new approach for filtering nonlinear systems Control, American Conference Seattle USA, 1628. ; Wertz (1988), Spacecraft Attitude Determination and Control Kluwer Academic Publishers, Dordrecht. ; Sekhavat (2007), NPSAT I parameter estimation using unscented Kalman filter New York, Proc American Control Conference USA, 4445. ; Mimasu (2009), der Attitude determination concept for QSAT of the Japan Society for Aeronautical and Space Technology, Transactions Sciences Aerospace Japan, 7, 63. ; Soken (2012), UKF - Based reconfigurable attitude parameters estimation and magnetometer calibration Transactions on Aerospace and Electronic, IEEE Systems, 48, 2614. ; Markley (1999), Attitude determination using two vector measurements Mechanics Space Flight Center, Flight Symposium, 39. ; Cilden (2015), Error Analysis of the Vector Measurements Based Attitude Determination Methods for Small Satellites International Symposium on Space Technology and Japan, Science. ; Vinther (2011), Inexpensive cubesat attitude estimation using quaternions and unscented Kalman filtering in, Automatic Control Aerospace, 4. ; Markley (2000), Quaternion attitude estimation using vector observations of the Astronautical, Journal Sciences, 48, 359. ; Quan (2013), Interlaced Optimal - REQUEST and unscented Kalman filtering for attitude determination of, Chinese Journal Aeronautics, 26, 449, doi.org/10.1016/j.cja.2013.02.023 ; Marina (2012), de Adaptive UAV Attitude Estimation Employing Unscented Kalman Filter FOAM and Low - Cost MEMS Sensors, Sensors, 12, 9566, doi.org/10.3390/s120709566 ; Ainscough (2014), Method extended Kalman filter of and Dynamics, Journal Guidance Control. ; Alonso (2002), Complete linear attitude - independent magnetometer calibration of Astronautical, Journal Sciences, 50, 477. ; Wahba (1965), Problem Least Squares Estimate of Satellite Attitude for Industrial and Applied Mathematics, Society Review, 7, 409. ; Hajiyev (2003), Attitude determination and control system design of the ITU - UUBF LEO satellite, Acta Astronautica, 52, 493, doi.org/10.1016/S0094-5765(02)00192-3 ; Finlay (2010), International Geomagnetic Reference Field : the eleventh generation, Geophysical Journal International, 183. ; Christian (2010), Sequential optimal attitude recursion filter of and, Journal Guidance Control Dynamics, 33, 1787, doi.org/10.2514/1.49561 ; Crassidis (2003), Unscented filtering for spacecraft attitude estimation of Guidance Control and, Journal Dynamics, 26, 536. ; Psiaki (1989), Three - axis attitude determination via Kalman filtering of magnetometer data of and, Journal Guidance Control Dynamics, 13, 506, doi.org/10.2514/3.25364 ; Oshman (2003), Spacecraft angular velocity estimation using sequential observations of a single directional vector of Spacecraft and, Journal Rockets, 40, 234. ; Springmann (2014), Flight results of a low - cost attitude determination systems, Acta Astronautica, 99. ; Mimasu (2008), der Attitude determination by magnetometer and gyros during eclipse / AAS Astrodynamics Specialist Conference and Exhibit USA, AIAA.
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