Hybrid optimization for multiple-impulse reconfiguration trajectories of satellite formation flying
Hybrid optimization for multiple-impulse reconfiguration trajectories of satellite formation flying
- New search for: Kim, Dong-Yoon
- New search for: Woo, Byoungsam
- New search for: Park, Sang-Young
- New search for: Choi, Kyu-Hong
- New search for: Kim, Dong-Yoon
- New search for: Woo, Byoungsam
- New search for: Park, Sang-Young
- New search for: Choi, Kyu-Hong
AbstractA hybrid optimization method is developed for fuel-optimal reconfigurations of a group of satellites flying in formation. The genetic algorithm performs a global search to find two-impulse trajectories, and primer vector analysis finds multiple-impulsive local optimal trajectories with the two-impulse trajectories as initial guesses. Hybrid optimization finds globally optimal trajectories for formation reconfigurations, including formation resizing, reassignment and reorientation maneuvers. Multiple-impulse trajectories reduce the fuel consumption from the two-impulse trajectories by up to 4.4% for those maneuvers. In real missions, satellites can follow two-impulse trajectories to gain the advantage of a smaller number of impulses, with the cost of slightly more propellant. The qualitative characteristics of the optimal trajectories are analyzed from the number of optimal trajectories found by hybrid optimization.
Document information
Hybrid optimization for multiple-impulse reconfiguration trajectories of satellite formation flying
Advances in Space Research ; 44 , 11 ; 1257-1269
2009-07-30
13 pages
Article (Journal)
Electronic Resource
English
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