Convex Trajectory optimization for the Soft-Capture Problem
We present a fast trajectory optimization algorithm for the soft capture of uncooperative tumbling space objects. Our algorithm generates safe, dynamically feasible, and minimum-fuel trajectories for a six-degree-of-freedom servicing spacecraft to achieve soft capture (near-zero relative velocity at contact) between predefined locations on the servicer spacecraft and target body. We solve a convex problem by enforcing a convex relaxation of the field-of-view constraint, followed by a sequential convex program correcting the trajectory for collision avoidance. The optimization problems can be solved with a standard second-order cone programming solver, making the algorithm both fast and practical for implementation in flight software. We demonstrate the performance and robustness of our algorithm in simulation over a range of object tumble rates up to 10 °/s.
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2024 June |
A Convex Formulation of the Soft-Capture Problem
IEEE International Conference on Space Robotics (iSpaRo). Luxembourg, Luxembourg. (Accepted) |
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Ibrahima S. Sow
