Trajectory Optimization and Following for a Three Degrees of Freedom Overactuated Floating Platform
Abstract
Space robotics applications, such as Active Space Debris Removal (ASDR), require representative testing before launch. A commonly used approach to emulate the microgravity environment in space is air-bearing based platforms on flat-floors, such as the European Space Agency's Orbital Robotics and GNC Lab (ORGL). This work proposes a control architecture for a floating platform at the ORGL, equipped with eight solenoid-valve-based thrusters and one reaction wheel. The control architecture consists of two main components: a trajectory planner that finds optimal trajectories connecting two states and a trajectory follower that follows any physically feasible trajectory. The controller is first evaluated within an introduced simulation, achieving a 100 % success rate at finding and following trajectories to the origin within a Monte-Carlo test. Individual trajectories are also successfully followed by the physical system. In this work, we showcase the ability of the controller to reject disturbances and follow a straight-line trajectory within tens of centimeters.
Keywords
Cite
@article{arxiv.2207.10693,
title = {Trajectory Optimization and Following for a Three Degrees of Freedom Overactuated Floating Platform},
author = {Anton Bredenbeck and Shubham Vyas and Martin Zwick and Dorit Borrmann and Miguel Olivares-Mendez and Andreas Nüchter},
journal= {arXiv preprint arXiv:2207.10693},
year = {2022}
}
Comments
Accepted to IROS2022, code at https://gitlab.com/anton.bredenbeck/ff-trajectories