OSA's Digital Library

Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Editor: Joseph N. Mait
  • Vol. 51, Iss. 16 — Jun. 1, 2012
  • pp: 3590–3598

Angular velocity estimation from measurement vectors of star tracker

Hai-bo Liu, Jun-cai Yang, Wen-jun Yi, Jiong-qi Wang, Jian-kun Yang, Xiu-jian Li, and Ji-chun Tan  »View Author Affiliations


Applied Optics, Vol. 51, Issue 16, pp. 3590-3598 (2012)
http://dx.doi.org/10.1364/AO.51.003590


View Full Text Article

Enhanced HTML    Acrobat PDF (890 KB)





Browse Journals / Lookup Meetings

Browse by Journal and Year


   


Lookup Conference Papers

Close Browse Journals / Lookup Meetings

Article Tools

Share
Citations

Abstract

In most spacecraft, there is a need to know the craft’s angular rate. Approaches with least squares and an adaptive Kalman filter are proposed for estimating the angular rate directly from the star tracker measurements. In these approaches, only knowledge of the vector measurements and sampling interval is required. The designed adaptive Kalman filter can filter out noise without information of the dynamic model and inertia dyadic. To verify the proposed estimation approaches, simulations based on the orbit data of the challenging minisatellite payload (CHAMP) satellite and experimental tests with night-sky observation are performed. Both the simulations and experimental testing results have demonstrated that the proposed approach performs well in terms of accuracy, robustness, and performance.

© 2012 Optical Society of America

OCIS Codes
(350.6090) Other areas of optics : Space optics
(120.6085) Instrumentation, measurement, and metrology : Space instrumentation

ToC Category:
Instrumentation, Measurement, and Metrology

History
Original Manuscript: January 11, 2012
Revised Manuscript: April 7, 2012
Manuscript Accepted: April 7, 2012
Published: June 1, 2012

Citation
Hai-bo Liu, Jun-cai Yang, Wen-jun Yi, Jiong-qi Wang, Jian-kun Yang, Xiu-jian Li, and Ji-chun Tan, "Angular velocity estimation from measurement vectors of star tracker," Appl. Opt. 51, 3590-3598 (2012)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-51-16-3590


Sort:  Author  |  Year  |  Journal  |  Reset  

References

  1. M. A. Paluszek, J. B. Mueller, and M. G. Littman, “Optical navigation system,” in AIAA Infotech at Aerospace 2010, April 20, 2010–April 22, 2010 (American Institute of Aeronautics and Astronautics, 2010).
  2. H. Leeghim, Y. Choi, and B. A. Jaroux, “Uncorrelated unscented filtering for spacecraft attitude determination,” Acta Astronaut 67, 135–144 (2010). [CrossRef]
  3. B. N. Agrawal and W. J. Palermo, “Angular rate estimation for gyroless satellite attitude control,” in AIAA Guidance, Navigation, and Control Conference and Exhibit5–8 August 2002 (AIAA, 2002).
  4. M. D. Shuster, “A survey of attitude representations,” J. Astronautical Sciences 41, 439–517 (1993).
  5. Y. Oshman and F. Landis Markley, “Sequential attitude and attitude-rate estimation using integrated-rate parameters,” J. Guid. Control. Dyn. 22, 385–394 (1999). [CrossRef]
  6. I. Y. Bar-Itzhack, “Classification of algorithms for angular velocity estimation,” J. Guid. Control. Dyn. 24, 214–218 (2001). [CrossRef]
  7. I. Y. Bar-Itzhack, R. R. Harman, and D. Choukroun, “State-dependent pseudo-linear filters for spacecraft attitude and rate estimation,” in AIAA Guidance, Navigation, and Control Conference and Exhibit5–8 August 2002 (AIAA, 2002).
  8. I. Y. Bar-Itzhack, and R. R. Harman, “A feedback approach to spacecraft angular rate estimation,” in AIAA Guidance, Navigation, and Control Conference and Exhibit21–24 August 2006 (Keystone, 2006).
  9. A. Carmi, and Y. Oshman, “Robust spacecraft angular-rate estimation from vector observations using fast interlaced particle filtering,” in AIAA Guidance, Navigation, and Control Conference and Exhibit15–18 August 2005 (AIAA, 2005).
  10. R. Azor, I. Y. Bar-Itzhack, J. K. Deutschmann, and R. R. Harman, “Angular-rate estimation using delayed quaternion measurements,” J. Guid. Control. Dyn. 24, 436–443 (2001). [CrossRef]
  11. J. L. Crassidis, “Angular velocity determination directly from star tracker measurements,” J. Guid. Control. Dyn. 25, 1165–1168 (2002). [CrossRef]
  12. H. B. Liu, J. K. Yang, J. Q. Wang, J. C. Tan, and X. J. Li, “Star spot location estimation using Kalman filter for star tracker,” Appl. Opt. 50, 1735–1744 (2011). [CrossRef]
  13. M. Kolomenkin, S. Pollak, I. Shimshoni, and M. Lindenbaum, “Geometric voting algorithm for star trackers,” IEEE Trans, Aerosp. Electron. Syst. 44, 441–456 (2008). [CrossRef]
  14. G. Welch and G. Bishop, “An introduction to the Kalman filter,” SIGGRAPH 2001, Los Angeles, Calif., August 12–17 (SIGGRAPH, 2001).
  15. G. Nagendra Rao and T. K. Alex, “Incremental-angle and angular velocity estimation using a star sensor,” J. Guid. Control. Dyn. 25, 433–441 (2002). [CrossRef]
  16. H. B. Liu, J. Q. Wang, J. C. Tan, J. K. Yang, H. Jia, and X. J. Li, “Autonomous on-orbit calibration of a star tracker camera,” Opt. Eng. 50, 23604–23608 (2011). [CrossRef]
  17. A. P. Sage and G. W. Husa, “Adaptive filtering with unknown prior statistics,” in Joint American Control Conference, 769–774 (1969).
  18. R. A. Singer, “Estimating optimal tracking filter performance for manned maneuvering targets,” IEEE Trans. on Aerospace and Electronic Systems AES-6, 473–483 (1970). [CrossRef]
  19. H. B. Liu, D. Z. Su, J. C. Tan, J. K. Yang, and X. J. Li, “An approach for star image simulation for star tracker considering satellite orbit motion and effect of image shift,” J. Astronautical Sciences 32, 1190–1194 (2011).
  20. H. B. Liu, X. J. Li, J. C. Tan, J. K. Yang, J. Yang, D. Z. Su, and H. Jia, “Novel approach for laboratory calibration of star tracker,” Opt. Eng. 49, 73601–73609 (2010). [CrossRef]
  21. C. Padgett and K. Kreutz-Delgado, “A grid algorithm for autonomous star identification,” IEEE Trans. on Aerospace and Electronic Systems 33, 202–212 (1997). [CrossRef]
  22. M. A. Samaan, T. C. Pollock, and J. L. Junkins, “Predictive centroiding for star trackers with the effect of image smear,” J. Astronautical Sciences 50, 113–123 (2002). [CrossRef]
  23. M. A. Samaan, D. Mortari, and J. L. Junkins, “Recursive mode star identification algorithms,” IEEE Trans. on Aerospace and Electronic Systems 41, 1246–1254 (2005). [CrossRef]

Cited By

Alert me when this paper is cited

OSA is able to provide readers links to articles that cite this paper by participating in CrossRef's Cited-By Linking service. CrossRef includes content from more than 3000 publishers and societies. In addition to listing OSA journal articles that cite this paper, citing articles from other participating publishers will also be listed.


« Previous Article  |  Next Article »

OSA is a member of CrossRef.

CrossCheck Deposited