耦合混合变量的空间机动飞行器多学科设计优化

Multidisciplinary Design Optimization of Space Maneuvering Vehicle Coupling with Mixed Variable

针对复杂耦合下的空间机动飞行器（SMV）多学科设计优化（MDO）问题,开展了同时考虑连续-离散混合变量的MDO求解技术研究。考虑空间机动飞行器总体方案设计需求,建立了包括轨道分系统、电源分系统、结构分系统、推进分系统、GNC分系统等多个学科的空间机动飞行器MDO模型;提出了基于变量转化法的混合变量MDO求解策略,将连续-离散混合变量MDO问题转化为普通MDO问题进行优化求解。优化后的空间机动飞行器总质量相比于初始方案降低了18.1%,证明了本文方法的有效性。与将离散变量作为连续变量优化的直接方式对比分析表明,本文提出的基于变量转化法的混合变量MDO求解策略在求解效率和可靠性方面更优。

To solve the multidisciplinary design optimization（MDO） problem of a space maneuvering vehicle（SMV）under complex interdisciplinary coupling,a MDO solution technique considering continuous-discrete mixed variables is developed. Based on the requirements of the SMV conceptual scheme design,a MDO model containing orbital system,power system,structure system,propulsion system and GNC system is constructed. For the corresponding mixed variable MDO problem,a modified MDO architecture is proposed to solve the corresponding mixed variable MDO problem via variable transformation method and a mixed variable MDO process. Total mass of the optimized SMV has been reduced by18. 1% compared with the original scheme,the effectiveness and applicability of this proposed method are proved. The comparison between the variable transformation method and the direct optimization method indicates that the method proposed in this paper has a better efficiency and reliability over the others.