Hardware-in-loop simulation of autonomous relative navigation for noncooperative spacecraft

This paper presents a hardware-in-loop simulation to validate the autonomous relative navigation algorithm for noncooperative target spacecraft. The algorithm was based on the closed-form solution of linear Clohessy-Wiltshire (C-W) equations and nonlinear measurement equations. The navigation filter...

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Bibliographic Details
Main Authors: Yue Qiu, Bibo Guo, Bin Liang, Cheng Li
Format: Conference Proceeding
Language:English
Subjects:
Closed-form solution
Extended Kalman Filter
Goniometers
Hardware-In-Loop Simulation
Navigation
Nonlinear equations
Nonlinear optics
Optical filters
Optical sensors
Position measurement
Relative Navigation
Space vehicles
Velocity measurement
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Summary:This paper presents a hardware-in-loop simulation to validate the autonomous relative navigation algorithm for noncooperative target spacecraft. The algorithm was based on the closed-form solution of linear Clohessy-Wiltshire (C-W) equations and nonlinear measurement equations. The navigation filter, a 6-state extended Kalman filter, processes angle measurements from an optical navigation camera along with range measurement from laser rangefinder data to estimate the relative position and velocity between two spacecrafts. A 15-degree-of-freedom closed-loop kinemical simulation platform was set up based on attitude and relative position motion. The filterpsilas performance was evaluated and tested by running a hardware-inloop simulation experiment containing the relative measurement sensors. The experimental results validate the proposed algorithm.
DOI:10.1109/ISSCAA.2008.4776314