基于改进合同网的低轨星座分布式自主任务规划算法OA

To address the requirements of strict real-time performance,decentralization,and fault-tolerant resource scheduling for low-Earth orbit constellations in continuously tracking high-speed moving targets,a distributed autonomous mission planning algorithm based on an improved contract network protocol is proposed.Based on the physical characteristics and mathematical models of the low-Earth orbit constellation resource scheduling problem,the contract net protocol algorithm for bid-initiating and bidding satellites is improved,incorporating strategies such as single-round negotiation,equal participation roles for all of satellites in planning,multi-source decision conflict resolution,failure self-reconfiguration,and directed bidding.Furthermore,an optimal decision model for the standard assignment problem is constructed to obtain optimal solutions.Simulation results of multi-target tracking experiments demonstrate that the improved algorithm achieves real-time,resilient,and efficient distributed mission planning.