Title :
Relative States Autonomous Determination of Satellites Formation Flying
Author :
He, Dong-lei ; Cao, Xi-bin
Author_Institution :
Res. Center of Satellite Technol., Harbin Inst. of Technol.
Abstract :
Relative states autonomous determination is very important for formation flying. In this paper, based on AFF technology, a relative states autonomous determination algorithm for formation flying is brought forward. Relative orbit and attitude motion equation of double satellites formation are taken as states equation. Measurement model is set up based on intersatellite measurement by GPS-like sensors and the measurement equation is established accordingly. A kind of double SKF sub-filters capable of calculating parallelly is put forward to estimate the orbit and attitude parameters at the same time. Comparing the mathematical simulation results of double SKF sub-filters with that of EKF shows the feasibility and rapidity of the proposed algorithm
Keywords :
Global Positioning System; Kalman filters; artificial satellites; estimation theory; GPS-like sensor; Global Positioning System; Schmidt-Kalman filter; attitude motion equation; intersatellite measurement; relative orbit estimation; relative states autonomous determination algorithm; satellite formation flying; Antenna measurements; Artificial satellites; Cybernetics; Equations; Extraterrestrial measurements; Machine learning; Motion measurement; Orbital calculations; Paper technology; Phase measurement; Space technology; State estimation; Formation flying satellites; GPS; Kalman filter; Relative states;
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
DOI :
10.1109/ICMLC.2006.258446
