Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Calibration of Low-cost Inertia Navigation System with Sun Line of Sight Vector

태양시선벡터를 이용한 저가 관성항법시스템의 보정

  • Published : 2008.08.01
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Abstract

The inaccuracy of inertial sensors used in low cost IMU's limits the usage to ARS, at best. Sensor fusion technologies are widely used to overcome this problem. GPS is the most popular secondary sensor, but GPS alone cannot fully compensate the IMU errors in the initial alignment process and rectilinear flights. This paper presents a new concept of aiding the low cost IMU with the sun line of sight vector. The simulation and experimental results in this paper proves that aiding of INS/GPS with the sun line of sight vector increases the observability and improves accuracy remarkably.

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References

  1. J.-L. Wang and H. K. Lee, 'Rizos C.GPS/INS integration: A performance sensitivity analysis,' Wuhan University Journal of Nature Sciences, 8(2B), pp. 508- 516
  2. D. H. Titterton and J. L. Weston, Strapdown Inertial Navigation Technology, Peter Peregrinus Ltd., 1997
  3. Inseok RHEE, Jamoun F. Abdel-Hafez, Jason L. Speyer, 'Observability of an Integrated GPS/INS During Maneuvers,' IEEE Trans. On Aerospace and Electronic Systems, vol. 40, no. 2, April 2004
  4. E. Gai, K. Daly, J. Harrison, and L. Lemos, 'Star-sensor-based satellite attitude/attitude rate estimator,' Journal of Guidance, Control, and Dynamics, vol. 8, no. 5, pp. 560-565, 1985 https://doi.org/10.2514/3.56393
  5. 안효성, 이선호, 이승우, 채장수, '태양획득 모드에서 저궤도 위성의 자세결정 알고리듬,' 한국항공우주학회지, vol. 30, no. 1, pp. 82-87, 2002
  6. O. Sharkernia, M. Yi, T. J. Koo, J. Hespanha, S. S. Sastry, 'Vision guided landing of an unmanned air vehicle,' Proceedings of the 38th IEEE Conference on Decision and Control, pp. 4143-4148, 1999
  7. E.-H. Shin, 'Accuracy improvement of low cost INS/GPS for land application,' M.Sc. Thesis, Department of Geomatics Engineering, University of Calgary, 2001
  8. R. G. Brown and P. Y. C. Hwang, Introduction to Random Signals and applied Kalman Filtering, JOHN WILEY & SONS, 1985