TRADE-OFF ANALYSIS OF LARGE-SCALE SWARM ENGAGEMENTS

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Authors
Redder, Nathan C.
Subjects
drone
autonomy
autonomous systems
swarm
Advisors
Kaminer, Isaac I.
Clark, Abram H., IV
Date of Issue
2022-12
Date
Publisher
Monterey, CA; Naval Postgraduate School
Language
Abstract
This research performs trade-off analysis on attacker-defender swarm engagements to compare the relative efficiency of factors governing swarm behavior, namely targeting algorithms and individual drone parameters. In particular, we examined algorithms developed for the Service Academies Swarm Challenge (SASC), a live-fly drone swarm exercise of swarm-on-swarm engagements. We performed this analysis with dynamic swarm simulations that permitted variations in swarm composition and behavior. This allowed us to confirm the qualitative results of swarm performance from the SASC. In addition, we used scaling analysis methods to perform quantitative trade-off analysis and developed functional forms to assess defender swarm fitness. Our results provide a framework for studying more complex swarm behaviors in follow-on research.
Type
Thesis
Description
Series/Report No
Department
Physics (PH)
Organization
Identifiers
NPS Report Number
Sponsors
Office of Naval Research/CRUSER
Funder
Format
Citation
Distribution Statement
Approved for public release. Distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
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