Abstract
In On-orbit servicing (OOS) mission planning problem, mission sequences and orbital rendezvous trajectories for servicing spacecraft (SSc) servicing multiple targets would be optimized, aiming at reducing the mission cost, the time duration, or some other merits. The onboard intelligent mission planning for OOS mission is studied in this paper. Each SSc is supposed as an autonomy or agent. They could perform planning onboard, communicate, and negotiate with other SScs. A multi-agent system (MAS) model is firstly introduced. And then, based on the MAS model, an intelligent planning method based on contract net protocol (IPCNP) is developed. Simulations demonstrate the effectiveness of IPCNP.
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