Abstract
In order to solve multi-constrained on-orbit service task allocation for spacecraft, the programming of on-orbit service task allocation for on-orbit satellites was studied. Based on the analysis of the key factors including target satellite value, service spacecraft loss and energy-time consumption, an on-orbit servicing multi-spacecraft task allocation model was formulated. A discrete particle swarm optimization (DPSO) algorithm was proposed for on-orbit service spacecraft cooperative task allocation problems. A new particle position and new update strategy for the particle speed were developed. The simulation results show that the proposed DPSO algorithm admits better convergence, optimization capability, and can solve the on-orbit service spacecraft cooperative task allocation effectively.
Original language | English |
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Pages (from-to) | 68-76 |
Number of pages | 9 |
Journal | Zhongguo Kongjian Kexue Jishu/Chinese Space Science and Technology |
Volume | 32 |
Issue number | 2 |
DOIs | |
State | Published - Apr 2012 |
Externally published | Yes |
Keywords
- Discrete particle swarm optimization
- On-orbit service
- Spacecraft
- Task allocation