A computationally efficient model predictive control scheme for space debris rendezvous
| Autor: | Alexander Korsfeldt Larsén, Leonard Felicetti, Damiano Varagnolo, Angelo Cenedese, Mattia Bruschetta, Yutao Chen, Ruggero Carli |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
0209 industrial biotechnology
Constrained optimization problem Constrained Optimization Problem Computer science Non-cooperative Rendezvous Low-thrust maneuvers Non linear model predictive control Non-cooperative rendezvous Real-time control Space debris removal ComputerApplications_COMPUTERSINOTHERSYSTEMS 02 engineering and technology Computer Science::Robotics 020901 industrial engineering & automation Control theory Real-time Control System Robustness (computer science) 0202 electrical engineering electronic engineering information engineering Space Debris Removal Spacecraft business.industry 020208 electrical & electronic engineering Rendezvous Non Linear Model Predictive Control Model predictive control Control and Systems Engineering Physics::Space Physics Fuel efficiency Real-time Control business Actuator Low-Thrust Manoeuvers Space debris |
| Zdroj: | IFAC-Papers |
| ISSN: | 2405-8963 |
| Popis: | We propose a non-linear model predictive scheme for planning fuel efficient maneuvers of small spacecrafts that shall rendezvous space debris. The paper addresses the specific issues of potential limited on-board computational capabilities and low-thrust actuators in the chasing spacecraft, and solves them by using a novel MatLab-based toolbox for real-time non-linear model predictive control (MPC) called MATMPC. This tool computes the MPC rendezvous maneuvering solution in a numerically efficient way, and this allows to greatly extend the prediction horizon length. This implies that the overall MPC scheme can compute solutions that account for the long time-scales that usually characterize the low-thrust rendezvous maneuvers. The so-developed controller is then tested in a realistic scenario that includes all the near-Earth environmental disturbances. We thus show, through numerical simulations, that this MPC method can successfully be used to perform a fuel-efficient rendezvous maneuver with an uncontrolled object, plus evaluate performance indexes such as mission duration, fuel consumption, and robustness against sensor and process noises © 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| Databáze: | OpenAIRE |
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