On-orbit Distributed Negotiation Intelligent Mission Planning for Instant Response

Abstract

The mission planning of LEO remote sensing constellation is a complex multi-objective optimization problem. At present, there are some problems in satellite mission planning research based on deep reinforcement learning, such as small scale of test data constellation, single optimization objective, repeated task arrangement and poor model adaptability. To solve the above problems, the CON_DQN (Contract network and Deep Q Network, CON_DQN) algorithm is proposed in this paper, which adopts the master-slave on-orbit distributed negotiation mechanism, the slave satellite makes decisions based on