RESEARCH COMMONS
LIBRARY

Multi-sensor Fusion Based Control For Autonomous Operations: Rendezvous And Docking Of Spacecraft

ResearchCommons/Manakin Repository

Multi-sensor Fusion Based Control For Autonomous Operations: Rendezvous And Docking Of Spacecraft

Show full item record

Title: Multi-sensor Fusion Based Control For Autonomous Operations: Rendezvous And Docking Of Spacecraft
Author: McDonald, Jonathan Bryan
Abstract: The project considers the problem of motion synchronization of free flying robotic spacecraft and serviceable floating objects in space. The synchronization maneuvers are based on sample and hold nonlinear translational and attitude control laws. GPS pseudorange signals and a vision based sensor unit are modeled to give position measurements; position and velocity estimates are extracted from the measurements based on Extended Kalman Filter models. A sensor data fusion algorithm in the form of a Federated Extended Kalman Filter is implemented that blends the estimates of the individual filters into a global estimate. Nonlinear simulations where a Pursuer spacecraft attempted to rendezvous with an uncontrolled free-floating Target spacecraft based on the estimation algorithms were performed. Effects of perturbations including non-uniform gravity and atmospheric drag were imposed to study the robustness of the algorithms.
URI: http://hdl.handle.net/10106/358
Date: 2007-08-23
External Link: https://www.uta.edu/ra/real/editprofile.php?onlyview=1&pid=295

Files in this item

Files Size Format View
umi-uta-1544.pdf 2.476Mb PDF View/Open
2.476Mb PDF View/Open

This item appears in the following Collection(s)

Show full item record

Browse

My Account

Statistics

About Us