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Kalman Filtering for Spacecraft Attitude Estimation by Low-Cost Sensors

Lee, Henzeh;Choi, Yoon-Hyuk;Bang, Hyo-Choong;Park, Jong-Oh

  • Published : 2008.05.10

Abstract

In this paper, fine attitude estimation using low-cost sensors for attitude pointing missions of spacecraft is addressed. Attitude kinematics and gyro models including bias models are in general utilized to estimate spacecraft attitude and angular rate. However, a linearized model and a transition matrix are derived in this paper from nonlinear spacecraft dynamics with external disturbances. A Kalman filtering technique is applied and offers relatively high estimation accuracy under dynamic uncertainties. The proposed approach is demonstrated using numerical simulations.

Keywords

Kalman Filter;low-cost sensors;external disturbance;attitude pointing

References

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Cited by

  1. Uncorrelated unscented filtering for spacecraft attitude determination vol.67, pp.1-2, 2010, https://doi.org/10.1016/j.actaastro.2009.12.017
  2. Theoretical Research on Full Attitude Determination Using Geomagnetic Gradient Tensor vol.68, pp.05, 2015, https://doi.org/10.1017/S0373463315000259
  3. An Attitude Filtering and Magnetometer Calibration Approach for Nanosatellites vol.19, pp.1, 2018, https://doi.org/10.1007/s42405-018-0020-8