Networked Cooperative Autonomous Munitions Digital Twin Modeling Utilizing Model Based Systems Engineering
Date of Award
Master of Science
Department of Systems Engineering and Management
David R. Jacques, PhD
An example of a high-complexity system is a swarm of Networked Cooperative Autonomous Munitions (NCAM) that prioritize wide area search and multiple view target confirmation. First, this research discusses methods toward building behavioral models within a Model-Based Systems Engineering (MBSE) tool. Then, this research presents the parallel modeling effort of NCAM in two environments: the MBSE model in Cameo Systems Modeler, and a physics-based model in the Advanced Framework for Simulation, Integration, and Modeling (AFSIM). Each digital model in its environment provides distinct benefits to the stakeholders of the design process, so the models must present consistent and parallel information. Thus, this research also presents automated methods to translate design information between models. Overall, the pair of models working in concert build trust with decision making authorities through understanding of the autonomous processes through systems cognition and digital scenario simulation.
DTIC Accession Number
Reed, Christopher R., "Networked Cooperative Autonomous Munitions Digital Twin Modeling Utilizing Model Based Systems Engineering" (2022). Theses and Dissertations. 5419.