電力リソース制約の厳しいCubeSatにおける 機器配置と熱設計の同時最適化手法

抄録

When designing spacecraft with limited power resources, it is possible to save electric power for the heater by taking thermal coupling between components into consideration and utilizing waste heat. In such cases, the optimization of both component layout and thermal design is effective. However, since the number of cases becomes huge and the calculation cost increases, conventional design methods cannot handle both component layout and thermal characteristics as optimization variables. We proposed a new method to simultaneously optimize both component layout and thermal design by limiting the application target to CubeSat, where the components are packaged at high density and can be regarded as polyominos, namely, figures formed by some squares arranged in a two-dimensional plane. By treating components layout as a polyomino packing problem and introducing a simple method of evaluating thermal characteristics, the number of cases and calculation cost were reduced and the candidates for the optimal solution were obtained. Furthermore, we introduced sensitivity analysis to verify the robustness of the candidate designs against the thermal conductivity error. By introducing the sensitivity analysis, a semi-optimal solution was obtained which is robust against the uncertainty of thermal conductivity.