Trajectory Optimization and Following for a Three Degrees of Freedom Overactuated Floating Platform

07/21/2022
by   Anton Bredenbeck, et al.
0

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 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.

READ FULL TEXT

page 1

page 5

page 6

research
06/08/2022

Finding and Following Optimal Trajectories for an Overactuated Floating Robotic Platform

The recent increase in yearly spacecraft launches and the high number of...
research
03/04/2021

Reinforcement Learning Trajectory Generation and Control for Aggressive Perching on Vertical Walls with Quadrotors

Micro aerial vehicles are widely being researched and employed due to th...
research
08/10/2020

Imitation Learning for Autonomous Trajectory Learning of Robot Arms in Space

This work adds on to the on-going efforts to provide more autonomy to sp...
research
03/31/2023

Trajectory Control for Differential Drive Mobile Manipulators

Mobile manipulator systems are comprised of a mobile platform with one o...
research
09/09/2021

Mini Cheetah, the Falling Cat: A Case Study in Machine Learning and Trajectory Optimization for Robot Acrobatics

Seemingly in defiance of basic physics, cats consistently land on their ...
research
09/25/2022

Deep Learning Technology-Based Exoskeleton Robot Controller Development

For higher degrees of freedom robot, mass matrix, Coriolis and centrifug...
research
09/15/2021

Globally-Attractive Logarithmic Geometric Control of a Quadrotor for Aggressive Trajectory Tracking

We present a new quadrotor geometric control scheme that is capable of t...

Please sign up or login with your details

Forgot password? Click here to reset