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针对空间遥感器中大口径主镜的轻量化结构设计引入了基于Kriging近似模型的多目标遗传优化方法,以2 m口径SiC主镜为例对其轻量化结构参数进行了优化设计。采用拉丁超立方法对优化参数进行试验设计,建立了Kriging模型,并用多目标遗传算法迭代求得了最优解。优化后得到了质量为243 kg的2 m口径SiC主镜,其面形精度达到了25.7 nm PV,4.7 nm RMS,轻量化率为84%。试验结果验证了此优化设计方法的可行性,为大口径主镜的轻量化结构参数优化设计提供了借鉴和参考。
A multi-objective genetic optimization method based on Kriging approximation model is introduced for the light-weight structural design of the large-aperture primary mirror in the space remote sensor. The lightweight structural parameters of the 2 m-diameter SiC primary mirror are optimized. The Latin hypercube method was used to optimize the parameters of the experimental design, the Kriging model was established, and the optimal solution was obtained iteratively using the multi-objective genetic algorithm. After optimization, a 2 m caliber SiC primary mirror with a mass of 243 kg was obtained. Its surface shape accuracy reached 25.7 nm PV and 4.7 nm RMS, and the weight reduction rate was 84%. The experimental results verify the feasibility of this optimized design method and provide references for optimal design of lightweight structural parameters of large aperture primary mirrors.