Reference Info for C31
[doi] [pdf] [slides] [recording]
Text Reference:
D. R. Herber, D. Dierker, S. S. Patnaik. 'Advancing model-based engineering through improved integration of domain-specific simulation and analysis using SysML-based models for unmanned aerial vehicles.' In AIAA 2023 Science and Technology Forum and Exposition, AIAA 2023-0256, National Harbor, MD, USA, Jan 2023. doi: 10.2514/6.2023-0256
BibTeX Source:
@inproceedings{Herber2023a,
author = {Herber, Daniel R and Dierker, Dominic and Patnaik, Soumya S},
title = {Advancing model-based engineering through improved integration of domain-specific simulation and analysis using {SysML}-based models for unmanned aerial vehicles},
booktitle = {AIAA 2023 Science and Technology Forum and Exposition},
address = {National Harbor, MD, USA},
number = {AIAA 2023-0256},
month = jan,
year = {2023},
doi = {10.2514/6.2023-0256},
pdf = {https://www.engr.colostate.edu/%7Edrherber/files/Herber2023a.pdf},
}
Abstract:
In this paper, we describe an approach for integrating a variant-based Simulink model to simulate an unmanned aerial vehicle (UAV) with a SysML-based executable model in Cameo Systems Modeler. A variant-based model is one where different structural pieces (here termed subsystems) have various options available to simulate other behaviors and is a common step of the design process. For example, in the early-state design of an aircraft, we may have multiple different thermal management system (TMS) variants to consider. The overall approach is described in a tool-agnostic form, laying out specific requirements needed from the SysML modeling tool and external analysis tools to support the proposed integration methodology. While the simulation-focused benefits are valuable, we also outline several management and additional activities enhanced through the SysML-based modeling approach helping demonstrate how a principally simulation-based engineering group might consider the digital engineering transition and balance the benefits of SysML-based modeling approaches and existing domain-specific models.