Luca Di Ianni
Control System Design with Reinforcement Learning Algorithm for a Space Manipulator.
Rel. Elisa Capello. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Aerospaziale, 2021
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Abstract
On-Orbit Servicing (OOS) represents the advent of a new approach to space access and promises to be a key element in developing the future space infrastructures. Upcoming robotic spacecraft, mounting a robotic arm, may be able to perform a wider range of operations on a larger number of client spacecraft such as docking, berthing, refueling, repairing, upgrading, transporting, rescuing and orbital debris removal. Space manipulator systems, however, introduce relevant challenges due to the dynamic coupling between the manipulator and the spacecraft, that represents its base, and due to the growing need for autonomy and flexibility to perform new tasks and adapt to environment changes and disturbances.
This implies the need for control system design that can reduce the reaction forces exchanged at the mounting point and that is robust to uncertainties on initial conditions
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