Abstract: Considering the constraint of spacecraft hardware and software resources, a scheduling method for spacecraft limited resources in the process of avoiding abnormal space approaching is proposed for the scenario where spacecraft is abnormally approached by non cooperative space targets. Space situation information under a specific mission is used as input and dynamic spacecraft resource allocation is output. Firstly, the dynamic model of threat avoidance scenario and the limited software and hardware resource model of spacecraft are established to analyze the information flow in the threat avoidance process. On this basis, the “elite reserve” and “inferior elimination” strategies are introduced to design the spacecraft resource scheduling method based on genetic algorithm to accelerate the convergence rate of genetic algorithm. The simulation results show that, compared with the random scheduling strategy, the method proposed in this paper effectively improves the orbit determination convergence rate for non cooperative targets under resource constraints, the mission spacecraft reaches the predetermined position faster, and saves the consumption of incremental velocity.

Key words: threat avoidance, spatial anomaly approach, resource scheduling, genetic algorithm