摘要
以纵向拉索预张力的大小为设计变量,网状反射面的均方根误差为目标函数,以应力和频率为约束条件,建立了大型网状可展开天线预张力优化的数学模型,并用遗传算法对其进行了优化.结果表明,该方法能有效地提供一组预张力,使得网状天线的初始形状具有较高的表面精度,对工程设计人员具有一定的参考价值.
A mathematical model to optimize the preloading of large net-shape deployable antennas was established , with the magnitude of the preloading on vertical cables as the design variable, the root mean square on the net-shape reflective surface as the objective function, and the stress and the frequency as constraints. Optimization using Genetic Algorithm was then performed. As a result, the proposed method can effectively provide a group of preloading, thus obtaining high surface accuracy of the initial shape of the net-shape antenna. The experimental results may serve as a good reference for engineering designers.
出处
《华南理工大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2004年第6期23-26,共4页
Journal of South China University of Technology(Natural Science Edition)
基金
中国人民解放军总装备部资助项目(41321070301)
关键词
可展开天线
均方根误差
遗传算法
预张力
deployable antenna
root mean square
Genetic Algorithm
preloading
