Biobjective planning of GEO debris removal mission with multiple servicing spacecrafts |
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| Institution: | 1. The Boeing Company, 535 Lipoa Parkway Suite 200, Kihei, HI 96753, USA;2. The Aerospace Corporation, El Segundo, CA, USA;3. The Boeing Company, Kihei, HI, USA;4. The Aerospace Corporation, El Segundo, CA, USA;1. Institute of Aerospace Systems, Technische Universität Braunschweig, Hermann-Blenk-Str. 23, 38108 Braunschweig, Germany;3. Fraunhofer Institute for High Frequency Physics and Radar Techniques, Fraunhoferstr. 20, 53343 Wachtberg, Germany;4. Space Debris Office, ESA/ESOC, Robert-Bosch-Str. 5, 64293 Darmstadt, Germany;1. Department of Physics, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece;2. Aerospace and Mechanical Engineering, University of Arizona, Tucson, AZ 85721, USA;1. IZEST, École Polytechnique, 91128 Palaiseau, France;2. IZEST, CEA-Saclay, DSM-IRAMIS-SPAM bât. 522 p. 148, 91191 Gif-sur-Yvette, France;3. Dept. of Physics and Astronomy, University of California at Irvine, Irvine, CA 92697, USA |
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| Abstract: | The mission planning of GEO debris removal with multiple servicing spacecrafts (SScs) is studied in this paper. Specifically, the SScs are considered to be initially on the GEO belt, and they should rendezvous with debris of different orbital slots and different inclinations, remove them to the graveyard orbit and finally return to their initial locations. Three key problems should be resolved here: task assignment, mission sequence planning and transfer trajectory optimization for each SSc. The minimum-cost, two-impulse phasing maneuver is used for each rendezvous. The objective is to find a set of optimal planning schemes with minimum fuel cost and travel duration. Considering this mission as a hybrid optimal control problem, a mathematical model is proposed. A modified multi-objective particle swarm optimization is employed to address the model. Numerous examples are carried out to demonstrate the effectiveness of the model and solution method. In this paper, single-SSc and multiple-SSc scenarios with the same amount of fuel are compared. Numerous experiments indicate that for a definite GEO debris removal mission, that which alternative (single-SSc or multiple-SSc) is better (cost less fuel and consume less travel time) is determined by many factors. Although in some cases, multiple-SSc scenarios may perform worse than single-SSc scenarios, the extra costs are considered worth the gain in mission safety and robustness. |
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| Keywords: | Active Debris Removal Mission planning Hybrid optimal control Space mission |
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