To utilize space solar energy efficiently, a concentrating-type space solar power satellite (SSPS) that can collect solar energy in space and transmit it to Earth through energy conversion and transmission is proposed. Given that the thermal subsystem is affected by high temperatures, which directly restricts its development, an iterative two-layer thermal design is proposed herein to optimize the step sandwich antenna (SSA) in the SSPS using a novel modified multi-objective optimization algorithm. To improve the feasibility of the SSPS, the thermal control coating requirements and structural configurations of the SSA are examined. The optimization of the SSA entails thermal analyses involving the conduction and radiation modes using thermophysical and structural parameters. The iterative two-layer thermal design of the SSA includes top-layer conceptual and bottom-layer precise designs. The coating requirement and structural configuration of the top-layer and the precise configuration and temperature uniformity of the bottom layer are improved iteratively to ensure global optimal solutions. Thus, the theoretical critical values of the optical properties of coatings are revealed using the proposed thermal design strategy. Furthermore, the solution set at the Pareto front is appraised, and the constrained multi-objective optimization algorithm is modified to obtain a more dispersed solution set. Finally, an actual SSA with the optimal design variables of the coatings and configurations is constructed using the two-layer strategy to achieve better heat dissipation with a mean temperature gradient of 7.22 °C/m and mass of approximately 2729 t; the effectiveness and feasibility of the design were also verified.

为了有效利用空间太阳能，提出了一种可以在空间收集太阳能并通过能量转换和传输传输到地球的聚光型空间太阳能卫星（SSPS）。鉴于热子系统受高温影响直接制约其发展，本文提出了迭代两层热设计，以使用新颖的改进多目标优化算法优化SSPS中的阶梯夹层天线（SSA）。为了提高 SSPS 的可行性，研究了 SSA 的热控制涂层要求和结构配置。SSA 的优化需要使用热物理和结构参数进行涉及传导和辐射模式的热分析。SSA 的迭代两层热设计包括顶层概念设计和底层精确设计。顶层的涂层要求和结构配置以及底层的精确配置和温度均匀性迭代改进，以确保全局最优解。因此，使用所提出的热设计策略揭示了涂层光学性能的理论临界值。进而对Pareto前沿的解集进行评价，修改约束多目标优化算法，得到更分散的解集。最后，使用两层策略构建具有涂层和配置最佳设计变量的实际 SSA，以实现更好的散热，平均温度梯度为 7。22 °C/m，质量约 2729 吨；设计的有效性和可行性也得到了验证。