Distributed Imaging Satellite Mission Planning Based on Multi-Agent.

As the core technology in the field of imaging satellite application, imaging satellite mission planning has received more and more attention. Aiming at this problem, this paper proposes a distributed imaging satellite mission planning method (DISMPA) based on multi-agent system. Firstly, a distributed imaging satellite mission planning model with variable collaborative division of labor is constructed based on multi-agent system theory. The model defines the intelligence level of satellites in the satellite cluster and the interaction mode between satellites. Secondly, the cooperation mechanism between satellite agents is established based on blackboard model. Two negotiation strategies of worker serial activation and worker parallel activation are proposed. In order to improve the efficiency of negotiation, the targets are preassigned before negotiation. Finally, a hybrid discrete multi-verse optimization algorithm is proposed to solve the mission planning problem of worker agents in the model. Simulation experiments show that the average fitness values obtained by DISMPM using serial activation strategy and DISMPM using parallel activation strategy are up to 20% higher than those obtained by the centralized algorithm with the best solution effect in this paper, and the average negotiation times of the two DISMPM methods are both reduced by more than 80% compared with the contract network algorithm, effectively reducing the system traffic and reducing the communication burden. It is proved that DISMPA is suitable for distributed imaging satellite mission planning.