Date of Award
3-2024
Document Type
Thesis
Degree Name
Master of Science in Operations Research
Department
Department of Operational Sciences
First Advisor
Lance E. Champagne, PhD
Abstract
The role of autonomy has evolved recently, demanding tighter integration between human and autonomous systems, particularly in highly contested A2AD environments. Near-peer adversaries have modernized their integrated air defense systems (IADS), diminishing the current advantages of the United States Air Force. To regain air dominance, efforts like the Collaborative Combat Aircraft (CCA) program are underway, aiming to deploy unmanned autonomous alongside manned next-generation fighter aircraft. This research assesses various operational concepts, focusing on autonomous tactics post-manned fighter loss, strike timing of independent teams, and weapon configuration observability. Using the Advanced Framework for Simulation, Integration and Modeling (AFSIM), an agent-based model was developed to simulate friendly human-autonomous teams engaging enemy IADS assets in A2AD tasks. Statistical analysis via full factorial design of experiments evaluates the effects of different factors associated with the friendly teams, providing insights into lethality and survivability metrics.
AFIT Designator
AFIT-ENS-MS-24-M-083
Recommended Citation
Kaminski, Michael, "Simulating Human-Autonomous Aircraft Teams in an Anti-Access Area Denial (A2AD) Environment" (2024). Theses and Dissertations. 7718.
https://scholar.afit.edu/etd/7718
Included in
Design of Experiments and Sample Surveys Commons, Operational Research Commons, Survival Analysis Commons
Comments
A 12-month embargo was observed for posting this work on AFIT Scholar.
Distribution Statement A, Approved for Public Release. PA case number on file.