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논문 기본 정보

자료유형
학술저널
저자정보
Daero Lee (충북대학교) Henry Pernicka (Missouri University of Science & Technology)
저널정보
한국항공우주학회 International Journal of Aeronautical and Space Sciences International Journal of Aeronautical and Space Sciences Volume.12 Number.1
발행연도
2011.3
수록면
24 - 36 (13page)

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초록· 키워드

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A new approach for spacecraft absolute attitude estimation based on the unscented Kalman filter (UKF) is extended to relative attitude estimation and navigation. This approach for nonlinear systems has faster convergence than the approach based on the standard extended Kalman filter (EKF) even with inaccurate initial conditions in attitude estimation and navigation problems. The filter formulation employs measurements obtained from a vision sensor to provide multiple line(-) of(-) sight vectors from the spacecraft to another spacecraft. The line-of-sight measurements are coupled with gyro measurements and dynamic models in an UKF to determine relative attitude, position and gyro biases. A vector of generalized Rodrigues parameters is used to represent the local error-quaternion between two spacecraft. A multiplicative quaternion-error approach is derived from the local error-quaternion, which guarantees the maintenance of quaternion unit constraint in the filter. The scenario for bounded relative motion is selected to verify this extended application of the UKF. Simulation results show that the UKF is more robust than the EKF under realistic initial attitude and navigation error conditions.

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Abstract
1. Introduction
2. Relative Equations of Motion
3. Review on Relative Attitude Kinematics, Sensor Models and Unscented Kalman Filtering
4. Unscented Relative Attitude Filter
5. Relative Attitude, Position and Velocity Estimation
6. Simulation Results
7. Conclusions
Acknowledgments
References

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UCI(KEPA) : I410-ECN-0101-2012-558-004477867