bd Systems (a subsidiary of SAIC) has developed a suite of embedded relative navigation sensor fusion algorithms to enable NASA autonomous rendezvous and docking (AR&D) missions. Translational and rotational Extended Kalman Filters (EKFs) were developed for integrating measurements based on the vehicles' orbital mechanics and high-fidelity sensor error models and provide a solution with increased accuracy and robustness relative to any single relative navigation sensor. The filters were tested tinough stand-alone covariance analysis, closed-loop testing with a high-fidelity multi-body orbital simulation, and hardware-in-the-loop (HWIL) testing in the Marshall Space Flight Center (MSFC) Flight Robotics Laboratory (FRL).
Embedded Relative Navigation Sensor Fusion Algorithms for Autonomous Rendezvous and Docking Missions
Institute of Navigation National Technical Meeting 2008: Innovating together Exploring the Future Uses of Navigation of Technology ; 2008 ; San Diego, CA, United States
2008-01-28
Conference paper
No indication
English
Design of Relative GPS Navigation System for Autonomous Rendezvous Docking of ETS-VII
British Library Online Contents | 2001
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