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An Iterative Subsystem-Generated Approach to Populating a Satellite Constellation Tradespace

机译:迭代子系统生成的方法来填充卫星星座贸易空间

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Tradespace exploration provides a structured, concept neutral means of considering a large number of design alternatives while avoiding a premature focus on point designs. However, the process can be difficult to implement in the design of complex space systems when considering practical partitioning and allocation of design tasks. Complicating the effort further is the existence of many subsystem interactions that must be considered in order to assemble a system level tradespace. This paper presents a process used to populate and analyze the tradespace for an example constellation of Earth observation satellites, by analyzing individual subsystem level trades in parallel and capturing system level interactions at key nodal checkpoints. The process is shown to allow for practical development of tradespace knowledge, leveraging subsystem-level design expertise, as well as identifying novel design alternatives at the intersection of subsystem proposed alternatives.
机译:Tradespace探索提供了一种结构化,概念中立的方法,可以考虑大量的设计替代方案,同时避免过早关注点设计。但是,考虑到设计任务的实际分配和分配,在复杂空间系统的设计中可能难以实现该过程。使工作更加复杂的是,为了组装系统级交易空间,必须考虑许多子系统的相互作用。本文通过分析并行的各个子系统级别的交易并捕获关键节点检查点的系统级别的交互作用,提出了一个用于填充和分析地球观测卫星示例星座的交易空间的过程。结果表明,该过程可以实际利用贸易空间知识,利用子系统级的设计专业知识,并在子系统提议的替代方案相交处确定新颖的设计替代方案。

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