协同优化在卫星多学科设计优化中的初步应用

探讨以遗传算法为优化上具的协同优化方法在卫星总体优化设计中的应用以及各学科间耦合关系。首先对基本协同优化方法的流程及特点进行了探讨，然后以对地观测卫星总休优化设计为对象，研究如何利用协同优化方法建立此问题的优化模型。研究结果表明，融合了遗传算法的协同优化方法能够有效地解决对地观测卫星总休优化设计，学科间耦合设计变量以及耦合状态变量的一致性误差均接近0．01％。

Multidisciplinary Design Optimization of Satellites Using Collaborative Optimization

The purpose of this paper is to investigate if collaborative optimization(CO) using genetic algorithm(GA) can be applied to the multidisciplinary design optimization and coupling relation of satellites.Firstly,the standard collaborative optimization is formulated and discussed.The design of earth observation satellites is used as a test problem.The key issue of the investigation is how to formulate the design optimization of earth observation satellites as multidisciplinary design optimization using the collaborative optimization.The numeric results indicate that the standard collaborative optimization can be successfully applied to the multidisciplinary design optimization of earth observation satellites,each coincidence error of coupling design variable and coupling state variable is close to 0.01%.