[HTML][HTML] Optimal planning for a multi-debris active removal mission with a partial debris capture strategy

GUO Jia, P Zhaojun, DU Zhonghua - Chinese Journal of Aeronautics, 2023 - Elsevier
In this paper, a new mission model, called a multi-debris active removal mission with partial
debris capture strategy, is proposed. The model assumes that a platform only captures part …

A multi-platform active debris removal mission planning method based on DCOP with chain topology

J Yang, YH Hu, X Hou, H Huang, N Zhao, H Fan - Acta Astronautica, 2023 - Elsevier
In this work, a distributed multi-platform active debris removal mission planning task is
formulated as a distributed constrained optimization problem (DCOP), and a novel …

A maximal-reward preliminary planning for multi-debris active removal mission in LEO with a greedy heuristic method

J Yang, YH Hu, Y Liu, Q Pan - Acta Astronautica, 2018 - Elsevier
An active multi-debris removal mission planning algorithm for low Earth orbit (LEO) debris
removal is presented. We assume that a space platform carrying multiple debris-deorbiting …

Resource-constrained constellation scheduling for rendezvous and servicing operations

SA Cox, NB Stastny, GN Droge, DK Geller - Journal of Guidance …, 2022 - arc.aiaa.org
This paper addresses the rendezvous and proximity operations constellation assignment
problem by developing a responsive utility function for tasking a constellation of low Earth …

A reinforcement learning scheme for active multi-debris removal mission planning with modified upper confidence bound tree search

J Yang, X Hou, YH Hu, Y Liu, Q Pan - IEEE Access, 2020 - ieeexplore.ieee.org
The increasing number of space debris is a critical impact on space environment. Active
multi-debris removal (ADR) mission planning technique with maximal reward objective is …

A two-level scheme for multiobjective multidebris active removal mission planning in low Earth orbits

J Yang, X Hou, Y Liu, Y Hu, Q Pan - Science China Information Sciences, 2022 - Springer
This paper proposes a two-level multiobjective multidebris active removal mission planning
scheme for a multi-nanosatellite active debris removal platform. This scheme consists of a …

On the application of reinforcement learning in multi-debris active removal mission planning

J Yang, YH Hu, Y Liu, X Hou… - 2019 IEEE 28th …, 2019 - ieeexplore.ieee.org
We formulate the active multi-debris removal mission planning task as a Reinforcement-
Learning (RL) problem and developed an adjusted Deep Q-Learning (DQN) solution. We …

[PDF][PDF] Debris sequence optimization for an active debris removal mission using a multi-indices rating system based algorithm

AY Al Naber, C Colombo, G Borelli - 2022 - politesi.polimi.it
In recent years, there has been a rapid growth in the space sector. As it has become more
accessible, also thanks to the spread of CubeSats, many agencies, not only public but also …