Abstract: The on orbit service system for fault repair and function maintenance of geosynchronous satellites is one of the important aerospace projects that are being developed in China. Aiming at the multi target service mission planning problem in geosynchronous earth orbit, an on orbit service mission modeling and reinforcement learning service sequence planning method is proposed in this paper. The spacecraft orbit dynamic model and the Hohmann Lambert four pulses rendezvous model are derived. The mission models are established for several typical on orbit service missions in geosynchronous earth orbit. A target satellite service sequence planning method is developed based on reinforcement learning. Numerical simulations are carried out to verify the effectiveness of the mission planning method. The results illustrate that the proposed method can comprehensively reflect the change of orbit parameters and the consumption of velocity increment and time of the service satellite in both the target rendezvous process and the mission execution process. The optimal service sequence obtained by planning is more applicable in the engineering.

Key words: geosynchronous earth orbit, on orbit service, mission modeling, service sequence planning, reinforcement learning