The provision of spacecraft servicing to a space station comprises the tasks of assembly, resupply, repair and maintenance of manufactured space parts in orbit. Servicing tasks use rendezvous and docking operations to accomplish their objectives. Autonomous servicing relies on intelligent flight control systems to perform fast, soft and precise docking operations. This paper proposes the use of a fuzzy logic control system, mounted on an active chaser vehicle which attempts to dock with a large passive space station in orbit around the Earth. The geno-fuzzy controller is a knowledge-based controller that performs the closed-loop operations autonomously. It produces smooth control actions in the proximity of the target and during the docking, to avoid disturbance torques in the final assembly orbit. The use of a genetic algorithm tool to optimize the controller so as to reduce docking time and fuel consumption is analyzed. It performs the optimization by finding the best fuzzy sets of the controller membership functions and the most suitable rule database.
Geno-fuzzy control in autonomous servicing of a space station
Engineering Applications of Artificial Intelligence ; 11 , 3 ; 383-400
1998
18 Seiten, 30 Quellen
Article (Journal)
English
Luftraumüberwachung , Montage , Regelkreis , Fuzzy-Regelung , Wartung , Raumfahrzeug , zeitoptimale Regelung , Drehmomentregelung , Raumstation , Baugruppe , Reparatur , Instandhaltung , Brennstoffverbrauch , Fuzzy-Set , Raumfahrt , Fuzzy-Mengenlehre , genetischer Algorithmus , intelligente Regelung , deduktive Datenbank
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