Aleksandar Nikic
Kalman Filtering for Relative Spacecraft Attitude and Position Estimation.
Rel. Fabrizio Stesina, Antonio D'Ortona. Politecnico di Torino, Master of science program in Aerospace Engineering, 2024
|
Preview |
PDF (Tesi_di_laurea)
- Thesis
Licence: Creative Commons Attribution Non-commercial No Derivatives. Download (6MB) | Preview |
Abstract
This thesis is framed within the context of the ESA Space Rider Observer Cube (SROC) mission. In this in-orbit servicing mission, a CubeSat is deployed from the Space Rider’s cargo bay to carry out a visual inspection of the vehicle, followed by a rendezvous and docking maneuver to return to the cargo bay. This work covers the development of an Extended Kalman Filter (EKF) to be implemented in the Navigation system of SROC for the phases of relative navigation (i.e under 1 km). The filter shall estimate the relative position, velocity, attitude and angular velocity between the Chaser and Target spacecraft.
The accuracy of the position estimation is driven by the mission requirements, and is quantified as single-axis error of 0.4m in the range [40; 20] m, 0.2m in the range [20; 10] m, 0.1m in the range [10; 5] m and 0.02m in the range [5; 1] m
Relators
Academic year
Publication type
Number of Pages
Course of studies
Classe di laurea
URI
![]() |
Modify record (reserved for operators) |
