Optimization of multi-satellite systems using integrated Model Based System Engineering (MBSE) techniques

Jeremiah Crane, L. Brownlow
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引用次数: 9

Abstract

Advances in workstation computational capabilities have enabled more powerful modeling and simulation tools to system engineers. Concurrent Engineering Methodologies (CEMs) are now more accessible than ever before. Model Based System Engineering (MBSE) toolsets can be incorporated to the analysis process to facilitate the management of the requirements and design parameters and objectives. This paper explores how CEMs and MBSE techniques can be combined together to produce a single analytic framework we call the MBSE Integration for System Optimization (MISO). We test the approach on a pilot project to aid in the design of a resilient fire detection remote sensing constellation of small satellites. This proof-of-concept study showcases how the MISO analytic framework can be used to optimize satellite designs, trade-space generation, and requirements validation.
基于集成模型的系统工程(MBSE)技术的多卫星系统优化
工作站计算能力的进步为系统工程师提供了更强大的建模和仿真工具。并发工程方法(CEMs)现在比以往任何时候都更容易获得。基于模型的系统工程(MBSE)工具集可以合并到分析过程中,以促进需求和设计参数及目标的管理。本文探讨了CEMs和MBSE技术如何结合在一起,以产生一个单一的分析框架,我们称之为MBSE集成系统优化(MISO)。我们在一个试点项目中测试了这种方法,以帮助设计一个弹性火灾探测遥感小卫星星座。该概念验证研究展示了MISO分析框架如何用于优化卫星设计、贸易空间生成和需求验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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