With renewed interest in lunar exploration and the upcoming deployment of the lunar space station, the Lunar Orbital Platform-Gateway (LOP-G), a scientific community, is focusing on the design of a lander to bring people back to the lunar surface. This work focuses on optimizing two aspects of the lunar lander concurrently: the mission architecture and the vehicle design, often treated independently in the literature. A methodology is introduced to enumerate and preliminarily rank all possible mission architectures. The best mission architectures are then coupled with a multidisciplinary design optimization process by modeling the various components of the spacecraft and optimizing over a set of design parameters. The need for fast computational models, particularly in trajectory optimization, resulted in an analytical approximation of gravitational losses. This work resulted in a hierarchy of mission architectures that are ranked according to the average mass necessary to perform the mission. This work is intended to help a system engineer designing a lunar lander in choosing the best number of vehicles, the number of reuses, and the mission profile for his/her mission requirements.

随着对月球探索的新兴趣以及即将到来的月球空间站的部署，科学界月球轨道平台-网关（LOP-G）致力于研究着陆器的设计，以将人们带回到月球表面。这项工作的重点是同时优化月球着陆器的两个方面：任务架构和飞行器设计，这些在文献中通常是独立处理的。引入了一种方法来枚举并初步对所有可能的任务架构进行排名。然后，通过对航天器的各个组件进行建模并在一组设计参数上进行优化，将最佳的任务架构与多学科的设计优化过程结合在一起。需要快速的计算模型，尤其是在轨迹优化中，得出重力损失的解析近似值。这项工作导致了任务架构的层次结构，该层次结构是根据执行任务所需的平均质量进行排名的。这项工作旨在帮助系统工程师设计登月器，以便为其任务需求选择最佳的车辆数量，可重复使用的次数以及任务配置文件。