Networked Cooperative Autonomous Munitions Parallel Modeling Utilizing Model Based Systems Engineering

Abstract

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.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2022
Accession Number
AD1174089

Entities

People

  • Christopher R. Reed

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Autonomous Systems
  • Cognitive Systems Engineering
  • Complex Systems
  • Department Of Defense
  • Engineering
  • Governments
  • Military Aircraft
  • Model Based Systems Engineering
  • Simulations
  • Systems Engineering
  • Test And Evaluation
  • United States
  • United States Government
  • Unmanned Aerial Systems
  • Unmanned Aerial Vehicles

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Computational Modeling and Simulation
  • Software Engineering.