Date of Award

3-2021

Document Type

Thesis

Degree Name

Master of Science in Systems Engineering

Department

Department of Systems Engineering and Management

First Advisor

Thomas C. Ford, PhD

Second Advisor

Michael E. Miller, PhD

Abstract

The U.S. Department of Defense (DoD) is rapidly moving towards using increasingly automated systems. Unmanned Aerial Systems (UAS) will be used in contested environments where direct human control may be impossible for long stretches of time. This increase in automation brings with it challenges in maintaining resilient Situation Awareness (SA) for operators, who still need to set goals for the UAS to accomplish their missions. Simultaneously, the DoD is increasing the adoption of Model-Based Systems Engineering (MBSE) in the development of weapon systems. This thesis explores the use of SysML to model of an SA repair system for a UAS and simulates it with the use of a model-based clock.

AFIT Designator

AFIT-ENV-MS-21-M-234

DTIC Accession Number

AD1136811

Comments

Co-advised thesis.

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