Chapin Samantha, Everson Holly, Chapin William, Quartaro Amy, Komendera Erik
Field and Space Experimental Robotics (FASER) Laboratory, Virginia Polytechnic Institute and State University, Mechanical Engineering Department, Blacksburg, VA, United States.
Front Robot AI. 2023 Feb 22;10:1109131. doi: 10.3389/frobt.2023.1109131. eCollection 2023.
This paper explores a mixed assembly architecture trade study for a Built On-orbit Robotically assembled Gigatruss (BORG). Robotic in-space assembly (ISA) and servicing is a crucial field to expand endeavors in space. Currently, large structures in space are commonly only deployable and must be efficiently folded and packed into a launch vehicle (LV) and then deployed perfectly for operational status to be achieved. To actualize being able to build increasingly large structures in space, this scheme becomes less feasible, being constrained by LV volume and mass requirements. ISA allows the use of multiple launches to create even larger structures. The common ISA proposals consist of either strut-by-strut or multiple deployable module construction methodologies. In this paper, a mixed assembly scheme is explored and a trade study is conducted on its possible advantages with respect to many phases of a mission: 1) manufacturing, 2) stowage and transport, 3) ISA, and 4) servicing. Finally, a weighted decision matrix was created to help compare the various advantages and disadvantages of different architectural schemes.
本文探讨了一种用于在轨机器人组装巨型桁架(BORG)的混合组装架构权衡研究。机器人空间组装(ISA)和服务是拓展太空探索的关键领域。目前,太空中的大型结构通常仅可展开,必须高效折叠并装入运载火箭(LV),然后完美展开以达到运行状态。为了实现在太空中建造越来越大的结构,这种方案因受运载火箭体积和质量要求的限制而变得不太可行。机器人空间组装允许使用多次发射来创建更大的结构。常见的机器人空间组装方案包括逐支柱或多个可展开模块的构建方法。本文探索了一种混合组装方案,并针对任务的多个阶段对其可能的优势进行了权衡研究:1)制造,2)存储和运输,3)机器人空间组装,以及4)服务。最后,创建了一个加权决策矩阵来帮助比较不同架构方案的各种优缺点。