Applying Model-Based Systems Engineering and Fidelity Quantification to Support Fair Fight in a Distributed Simulation System

Abstract

Current 5th and 6th generation fighter aircraft capabilities, and the DoD's push towards digital engineering have created an environment in which simulated testing using live, virtual, and constructive assets has increasing utility. These simulations need to be credible in the eyes of the stakeholders, which for distributed simulation systems includes establishing fair fight between simulation services. Fair fight is when multiple simulations interoperate without generating one-sided systematic advantages. Issues that impede fair fight can be categorized into interoperability issues at the simulations implementation level and incompatible representations of reality between underlying models. This research used model-based systems engineering to generate non-functional system requirements for fair fight. The requirement for alignment of models conceptual representation of reality, led the need to quantify fidelity. Fidelity metrics that speak towards system level complexity, adherence to property scope specifications, and real-world behavior accuracy were applied to a SysML driven simulation. It was concluded that metrics for structural decomposition can describe a models limitations and scope, while traceability between model properties and real-world specifications has more utility than a singular metric. Lastly, by generating referent data with external simulation, behavioral differences can be quantified and downstream effects due to low model fidelity can be detected.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2021
Accession Number
AD1151415

Entities

People

  • David P. Lemmer
  • Nathaniel D. Erbe

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Space

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Aircrafts
  • Combat Simulations
  • Complex Systems
  • Department Of Defense
  • Digital Engineering
  • Engineering
  • Engineers
  • Fighter Aircraft
  • Literature Surveys
  • Model Based Systems Engineering
  • National Security
  • Reliability
  • Simulations
  • Simulators
  • Specifications
  • Standards
  • Systems Engineering
  • Systems Management
  • Systems Modeling Language
  • Test And Evaluation

Fields of Study

  • Computer science
  • Engineering

Readers

  • Computational Modeling and Simulation
  • Joint Military Operations and Doctrine.
  • Software Engineering.