期刊
IEEE ACCESS
卷 9, 期 -, 页码 107476-107492出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2021.3096468
关键词
Modeling; Systems engineering and theory; Robots; NASA; Space vehicles; Computer architecture; Task analysis; Model-based systems engineering (MBSE); robotic space systems; systems architecture; systems engineering processes
资金
- National Aeronautics and Space Administration (NASA)
This study compares the information transfer quantity between MBSE approach and traditional systems engineering approach in designing robotic space systems, finding that MBSE approach allows for more automation in information transfer compared to the non-MBSE approach.
This study seeks to compare the quantity of information that is automatically transferred through the associations generated using a model-based systems engineering (MBSE) approach versus a traditional systems engineering approach to measure the benefits of MBSE in architecting a robotic space system. Both an MBSE approach and non-MBSE approach were applied to architecting an orbiting sample Capture and Orient Module (COM) system concept for a Capture, Containment, and Return System (CCRS) payload concept for Mars Sample Return (MSR). These approaches were applied in parallel to provide a side-by-side comparison of the approaches. The approaches were analyzed using design structure matrices (DSM) and evaluated based on the amount of information transferred between process tasks manually (e.g., elements physically typed into text boxes in a presentation slide) vs automatically (e.g., elements automatically filled out within a block in a model view due to explicitly defined element associations). A total of 4,819 information element transfers were traced in DSMs and used to quantitatively compare the two approaches. The non-MBSE approach required manual transfer for all 4,819 information elements. The MBSE approach required manual transfer for 4,189 information elements and automatic transfer for 630 information elements, providing a minor increase in the automation of information transfer relative to the non-MBSE approach. By incorporating the use of additional MBSE artifacts into the trade study and peer review tasks, manual transfer could potentially be reduced to 931 information elements, and automatic transfer increased to 3,888 information elements.
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