ATC与CO方法对比及其在卫星设计问题中的应用  

Comparison of ATC with CO and its application in satellite design problem

作　　者：吴蓓蓓[1] 黄海[1] 吴文瑞[1] 

机构地区：[1]北京航空航天大学宇航学院,北京100191

出　　处：《计算机工程与设计》2012年第6期2455-2460,共6页Computer Engineering and Design

摘　　要：针对解析目标分流(analytical target cascading,ATC)与协同优化(collaborative optimization,CO)方法对比及ATC方法在卫星多学科设计优化(MDO)中的应用等问题,研究ATC与CO方法的原理差异;将其应用到两个数学解析算例,通过对比ATC与CO方法在优化过程中系统、子系统问题以及全部问题所需的函数运算次数,可以看出ATC方法可以大大减少子系统问题函数运算次数,计算效率较高。采用ATC方法求解某观测卫星MDO问题得到合理结果,表明了ATC方法的有效性,可为同类航天器MDO问题求解提供参考。For the comparison of analytical target cascading（ATC） with collaborative optimization（CO） and the application of ATC in satellite multidisciplinary design optimization（MDO） problem,the basic principles and differences of ATC and CO are researched firstly.Then they are used to solve two mathematical analysis examples respectively.By comparing function evaluations of system,subsystem and total problems using these two methods,ATC method is found more efficient as it requires fewer function evaluations of subsystem.Finally,a typical satellite MDO problem is solved by ATC method and reasonable results are obtained.It shows the effectiveness of ATC method and can be provided as a reference for satellite of same type.

关 键 词：协同优化 解析目标分流 效率 卫星 多学科设计优化 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]