並列分散群知能アルゴリズムによる展開型超小型衛星の姿勢・加熱環境推定について

抄録

Heat flux histories on the membrane aeroshell and inflatable torus of a deployable nano-satellite EGG in very low Earth orbit (VLEO), where the altitude is between 400—100 km, were revealed by using parallel-distributed particle swarm optimization (PSO) from temperatures measured. The goal of this research is to clarify the attitude of the satellite in VLEO based on heat flux histories that are highly affected by the three types of radiation, i.e., the solar rays, albedo, and Earth infrared radiation. This study particularly focuses on heat flux estimation, and the thermal response model for the membrane aeroshell and inflatable torus of EGG was reconstructed. It was indicated that heat fluxes under the sunlight and shade phases are about 400 and 100 kW/m² at an altitude of about 220 km, respectively. This information may provide insight into the deduction of EGG’s attitude. Additionally, the parallel efficiency of the optimizer used here was evaluated, and the PSO showed good scalability for parallel computing.