Simulation of Active Soft Nets for Capture of Space Debris

TL;DR

This paper presents a MuJoCo-based simulator for designing soft robotic nets to autonomously capture space debris, demonstrating improved performance with compliant nets and sliding mode control.

Contribution

It introduces a novel simulation framework for soft net dynamics and control in space debris capture, starting from static configurations unlike previous methods.

Findings

More compliant nets perform better in debris capture.

Sliding mode controllers enable 100% successful captures in tests.

Soft nets increase contact points and effective contact area.

Abstract

In this work, we propose a simulator, based on the open-source physics engine MuJoCo, for the design and control of soft robotic nets for the autonomous removal of space debris. The proposed simulator includes net dynamics, contact between the net and the debris, self-contact of the net, orbital mechanics, and a controller that can actuate thrusters on the four satellites at the corners of the net. It showcases the case of capturing Envisat, a large ESA satellite that remains in orbit as space debris following the end of its mission. This work investigates different mechanical models, which can be used to simulate the net dynamics, simulating various degrees of compliance, and different control strategies to achieve the capture of the debris, depending on the relative position of the net and the target. Unlike previous works on this topic, we do not assume that the net has been previously ballistically thrown toward the target, and we start from a relatively static configuration. The results show that a more compliant net achieves higher performance when attempting the capture of Envisat. Moreover, when paired with a sliding mode controller, soft nets are able to achieve successful capture in 100% of the tested cases, whilst also showcasing a higher effective area at contact and a higher number of contact points between net and Envisat.