Abstract:

An optimization design method for the parking orbit of a single space-to-ground vehicle based on the fuzzy adaptive particle swarm optimization (FAPSO) algorithm is proposed to solve the problem that the optimization variables are in large search ranges and are sensitive to the initial values. Firstly, given a maneuver moment, the striking range of the space-to-ground vehicle is established, which lays a foundation of the indexes of optimization design for the parking orbit; secondly, the number and the mean time of targets in the hitting range are taken as indexes, and the parking orbit optimization design model is established by FAPSO; finally, the simulation results show that the FAPSO algorithm has higher convergence accuracy and can effectively accomplish the design for the parking orbit of a single space-to-ground vehicle.

Key words: space-to-ground vehicle, fuzzy control system, particle swarm algorithm, parking orbit, Pontryagin minimum principle