Search results

Filters

  • Journals
  • Authors
  • Keywords
  • Date
  • Type

Search results

Number of results: 2
items per page: 25 50 75
Sort by:
Download PDF Download RIS Download Bibtex

Abstract

The objective of the research was to investigate the efficiency of selected methods of data fusion from visual sensors used on-board satellites for attitude measurements. Data from a sun sensor, an earth sensor, and a star tracker were fused, and selected methods were applied to calculate satellite attitude. First, a direct numerical solution, a numerical and analytical solution of the Wahba problem, and the TRIAD method for attitude calculation were compared used for integrating data produced by a sun sensor and an earth sensor. Next, attitude data from the star tracker and earth/sun sensors were integrated using two methods: weighted average and Kalman filter. All algorithms were coded in the MATLAB environment and tested using simulation models of visual sensors. The results of simulations may be used as an indication for the best data fusion in real satellite systems. The algorithms developed may be extended to incorporate other attitude sensors like inertial and/or GNSS to form a complete satellite attitude system.
Go to article

Bibliography

  1.  E. Babcock, “CubeSat Attitude Determination via Kalman Filtering of Magnetometer and Solar Cell Data,” in 25th AIAA/USU Conference on Small Satellites, 2011, [Online]. Available: https://digitalcommons.usu.edu/smallsat/2011/all2011/56/.
  2.  M. Fakhari Mehrjardi, H. Sanusi, Mohd.A.Mohd. Ali, and M.A. Taher, “Three-Axis Attitude Estimation Of Satellite Through Only Two- Axis Magnetometer Observations Using LKF Algorithm,” Metrol. Meas. Syst., vol. 22, no. 4, pp. 577–590, 2015, [Online]. Available: https://journals.pan.pl/dlibra/publication/104365/edition/90368.
  3.  T. Nguyen, K. Cahoy, and A. Marinan, “Attitude Determination for Small Satellites with Infrared Earth Horizon Sensors,” J. Spacecr. Rockets, vol. 55, no. 6, pp. 1466– 1475, 2018, doi: 10.2514/1.A34010.
  4.  Y.T. Chiang, F.R. Chang, L.S. Wang, Y.W. Jan, and L.H. Ting, “Data fusion of three attitude sensors,” in SICE 2001. Proceedings of the 40th SICE Annual Conference. International Session Papers (IEEE Cat. No.01TH8603), 2002, pp. 234–239, doi: 10.1109/SICE.2001.977839.
  5.  H. Kim, J. Hong, W. Park, and C. Ryoo, “Satellite celestial navigation using star-tracker and earth sensor,” in 2015 15th International Conference on Control, Automation and Systems (ICCAS), Oct. 2015, pp. 461–465, doi: 10.1109/ICCAS.2015.7364961.
  6.  L. Yuqing, Y. Tianshe, L. Jian, F. Na, and W. Guan, “A fault diagnosis method by multi sensor fusion for spacecraft control system sensors,” in 2016 IEEE International Conference on Mechatronics and Automation, Aug. 2016, pp. 748–753, doi: 10.1109/ICMA.2016.7558656.
  7.  F.L. Markley, “Attitude Determination Using Two Vector Measurements,” 1998. [Online]. Available: https://ntrs.nasa.gov/search. jsp?R=19990052720.
  8.  J.J. Moré, “The Levenberg-Marquardt algorithm: Implementation and theory,” in Numer. Anal., vol. 630, 1978, pp. 105–116.
  9.  A. Forsgren, P.E. Gill, and M.H. Wright, “Interior Methods for Nonlinear Optimization,” SIAM Rev., vol. 44, no. 4, pp. 525–597, Jan. 2002, doi: 10.1137/S0036144502414942.
  10.  E.B. Dam, M. Koch, and M. Lillholm, “Quaternions, Interpolation and Animation,” Copenhagen, 1998. [Online]. Available: https://web. mit.edu/2.998/www/QuaternionReport1.pdf.
Go to article

Authors and Affiliations

Janusz Narkiewicz
1
ORCID: ORCID
Mateusz Sochacki
1
ORCID: ORCID
Adam Rodacki
1
Damian Grabowski
1

  1. Warsaw University of Technology, Faculty of Power and Aeronautical Engineering, Institute of Aeronautics and Applied Mechanics, ul. Nowowiejska 24, 00-665 Warsaw, Poland

This page uses 'cookies'. Learn more