Unmanned Cargo Spacecraft (UCS) systems involve exceedingly complex systems engineering and design in order to implement. UCS typically include a vast range of subsystems – Command and Data Handling (C&DH), Attitude Determination and Control System (ADCS), Propulsion, Guidance, Navigation, and Control (GNC), Communications, etc. – and demand the latest in autonomy technology. Additionally, they must account for numerous stakeholder interests, and those are interests that, in today’s climate, may change rapidly. Therefore, system adaptability to changing requirements plays a key role in results. Currently deployed UCS are highly functioning and pivotal to our space systems, particularly the International Space Station (ISS). It follows that life cycle considerations and costs must be a central objective to UCS system designs. Thus, using model-based systems engineering (MBSE) practices to develop an effective UCS systems engineering architecture will aid in UCS design and implementation iterations.This thesis proposes such an architecture via first defining the System of Interest (SoI), including system scope, context, internal description, products, inputs, outputs, enablers, and limiters. It then expands upon the system architecture development using Concept of Operations (ConOps), function breakdown, Functional Flow Block Diagrams (FFBD), function timeline, N2 diagrams, product analysis, and system interface analysis. Lastly, it sets the framework for all system, allocated, derived, and interface requirements.
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Development of a model-based systems engineering architecture for an unmanned cargo spacecraft design