基于等效模型的空间站大面积柔性太阳翼结构优化设计

Structural Optimization Design of Space Station Flexible Solar Array Wing Based on Equivalent Model

针对大面积柔性太阳翼的结构优化设计问题,基于弹簧质量等效模型,采用试验设计法(DOE)构造数值代理模型,并对太阳翼一阶频率进行敏感性和主效应分析,得出影响太阳翼基频的主要变量因素。采用多岛遗传算法(MIGA)全局寻优和设计非线性序列二次规划(NLPQL)梯度算法,在满足总质量降低的约束条件下,提高柔性翼一阶频率。结果表明:该方法能够高效地实现太阳翼结构优化设计,在研制初期有助于快速确定太阳翼的结构方案,这对于中国空间站太阳翼的成功研制可起到重要的作用。

Using a mass-spring equivalent model,the structural optimization problem of a large flexible solar array wing was studied in this paper.A method called“Design of Experiment”was used to build a numerical surrogate model of a solar array wing.The sensitivity and the main effect of the first frequency on key parameters were analyzed.According to the numerical surrogate model of the solar array wing,both MIGA global optimization algorithm and the NLPQL gradient algorithm can increase the first frequencies under the restrained condition of reducing overall mass.The result shows that this method can optimize the structure design and contribute to determine the structure scheme effectively,which has paid an important part on successful development of the solar array of China Space Station.