On-Orbit Servicing system architectures for GEO and MEO constellations

Network Flow Formulation for Cooperative Peer-to-Peer Refueling Strategies

“…x ij 1; if x ij 2 M ' 0; otherwise (27) and define the following optimization problem on G ' (CE-P2P-LB stands for CE-P2P lower bound):…”

“…Servicing missions have been undertaken for the SkyLab Space Station, Solar Maximum Mission, the Russian Space Station, and, most significantly, for the Hubble Space Telescope [2][3][4][5][6][7]. Previous OOS studies can be broadly classified into the following categories: 1) studies on economic aspects [8][9][10][11][12][13][14], which look into the cost-effectiveness of servicing operations and the value of flexibility offered by OOS missions, 2) studies on enabling technologies [15][16][17][18][19][20][21][22][23], which look into the problem of automated rendezvous and capture, feasibility of fluid exchange in space, and robotic servicing, 3) studies on architecture and design [8,[24][25][26][27][28], which look at the servicing architecture and design modifications for satellites to enable servicing, and 4) studies on servicing strategies [29][30][31][32][33][34][35][36], which look at optimal methods of servicing a system of multiple satellites. Our interest in this paper lies in the latter of the previously mentioned areas.…”