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Abstract
The estimation of attitude of small spacecraft, limited by space and power, is achieved by using rate class MEMS gyros. Considerable drift in these sensors limits the use of inertial algorithms. Secondary sensors need to be used for the real time estimation of the drift. This paper proposes an algorithm based on Unscented Kalman Filter (UKF) which utilizes three axis magnetometer and sun sensor as secondary sensors and performs data fusion on to the gyro measurements. A 7-state UKF is used for the purpose. The paper discusses the detailed derivation of the algorithm, and the sensor models. Reference models for magnetometer and sun sensor is also included. Ability of the algorithm to cater to the effects of solar eclipse and sensor data loss for short duration are also studied.
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References
- Mimasu, Y. and Ha, J. C. V. D., "Attitude Determination Concept for QSAT", Japan Society for Aeronautical and Space Sciences and ISTS, 2009.
- Mimasu, Y., Ha, J. C. V. D. and Narumi, T., "Attitude Determination by Magnetometer and Gyros During Eclipse", American Institute of Aeronautics and Astronautics, 2008.
- Thienel, J. K. and Harman, R. R., "Results of the Magnetometer Navigation (MAGNAV) Inflight Experiment", American Institute of Aeronautics and Astronautics.
- Wan, E. A. and van der Merwe, R., "The Unscented Kalman Filter for Nonlinear Estimation".
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- Publications, 2006.
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- and Space, Springer Open Journal, 2015.
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- Moncy, J. K. and Karuturi, K., "Extended Kalman Filter Based Attitude Estimation Using Magnetometer and Sun Sensor Aided MEMS Gyros", International Symposium on Control Communications and
- Embedded System for Robotics, 2020.
References
Mimasu, Y. and Ha, J. C. V. D., "Attitude Determination Concept for QSAT", Japan Society for Aeronautical and Space Sciences and ISTS, 2009.
Mimasu, Y., Ha, J. C. V. D. and Narumi, T., "Attitude Determination by Magnetometer and Gyros During Eclipse", American Institute of Aeronautics and Astronautics, 2008.
Thienel, J. K. and Harman, R. R., "Results of the Magnetometer Navigation (MAGNAV) Inflight Experiment", American Institute of Aeronautics and Astronautics.
Wan, E. A. and van der Merwe, R., "The Unscented Kalman Filter for Nonlinear Estimation".
Crassidis, J. L. and Landis Markley, F., "Unscented Filtering for Spacecraft Attitude Estimation", Journal
of Guidance, Control and Dynamics, 2003.
Ahn, H. -S. and Lee, S. -H.,"Gyroless Attitude Estimation of Sun-Pointing Satellites Using Magnetometers", IEEE Geoscience and Remote Sensing Letters,2005.
Farrell, J. A., "Aided Navigation: GPS with High Rate Sensors", McGraw-Hill Publications, 2008.
Simon, D., "Optimal State Estimation: Kalman, h1, and Nonlinear Approaches", Wiley-Interscience
Publications, 2006.
Thebault, E., et al., "International Geomagnetic Reference Field: The 12th Generation", Earth, Planets,
and Space, Springer Open Journal, 2015.
Vallado, D. A., "Fundamentals of Astrodynamics and Applications", Second Edition, Dordrecht Kluwer Academic Publishers, 2001.
Moncy, J. K. and Karuturi, K., "Extended Kalman Filter Based Attitude Estimation Using Magnetometer and Sun Sensor Aided MEMS Gyros", International Symposium on Control Communications and
Embedded System for Robotics, 2020.