Conceptual Design and Analysis of a NanoTug Swarm for Active Debris Removal

TL;DR

This paper proposes a swarm-based NanoTug system for active space debris removal, combining analytical modeling and simulations to evaluate different deployment strategies and control methods for effective de-orbiting.

Contribution

It introduces a novel NanoTug swarm concept with analytical and simulation validation, including distribution strategies and control laws for debris de-orbiting.

Findings

Predefined NanoTug distribution improves performance and predictability.

Analytical swarm sizing approach is validated but requires margin.

Feasible control law demonstrated through simulations.

Abstract

This paper investigates a swarm-based concept in which a number of nanosatellites, referred to as NanoTugs, are deployed by a mother spacecraft to capture and cooperatively stabilize and de-orbit space debris. The study focuses on the stabilization and de-orbiting phases of the mission, where each NanoTug is equipped with thrusters to perform the de-orbiting maneuver. An analytical method is developed to provide a preliminary understanding of the relationship between swarm system parameters, debris properties, and mission performance, which is subsequently verified through numerical simulations. Two NanoTug distribution strategies, random and predefined, are considered, and their influence on mission performance is evaluated. De-orbiting is achieved by thrusting along the direction that maximizes the reduction of the semi-major axis, as obtained from Gauss variational equations, while the attitude of the combined debris-NanoTugs system is controlled using a Lyapunov-based control law. A task allocation strategy is implemented to assign on-off commands to individual thrusters. Simulation results demonstrate the applicability of the analytical swarm sizing approach; however, a margin in system sizing is required due to the simplifying assumptions used in the first-order estimation. The proposed control approach for debris de-orbiting is shown to be feasible through representative mission simulations. In terms of NanoTug distribution across the debris surface, the predefined strategy provides improved performance, requiring fewer NanoTugs and offering more predictable behavior, whereas the random distribution results in frequent switching between NanoTug thrusters. Overall, the results highlight the feasibility of the swarm-based NanoTug concept for cooperative debris stabilization and de-orbiting.