INCREASING UTILITY AND FIDELITY OF A UXV NETWORKED CONTROL SYSTEM SIMULATION VIA PYTHON ADAPTATION
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Authors
Faulk, Andrew J.
Muiruri, Antony K.
Subjects
networked control system
NCS
docker containers
object-oriented programming
network fidelity
extensibility
unmanned vehicles
UxVs
NCS
docker containers
object-oriented programming
network fidelity
extensibility
unmanned vehicles
UxVs
Advisors
Xie, Geoffrey G.
Date of Issue
2022-12
Date
Publisher
Monterey, CA; Naval Postgraduate School
Language
Abstract
While the use of unmanned vehicles (UxVs) within the Department of Defense (DOD) is prevalent, the ability of the DOD to operate these vehicles as a cooperative networked control system (NCS) is not fully developed. A MATLAB simulation modeling a UxV NCS that jointly optimizes sensing and data communications utilities currently exists. However, this implementation is of low fidelity and is not readily extensible. This thesis advances the NCS model by converting the MATLAB simulation into Python with an object-oriented design. We further extend the Python NCS simulation into a truly distributed system, where each node executes in an independent Docker container and communicates with other nodes via reliable message communications. Our implementation results demonstrated that the object-oriented Python simulation incurs a performance penalty with respect to execution times but provides for greater extensibility without changes to existing functionality. Furthermore, Docker containers offer a lightweight solution for modeling a more realistic version of UxV simulations, thus increasing the NCS simulation's fidelity.
Type
Thesis
Description
Series/Report No
Department
Computer Science (CS)
Computer Science (CS)
Organization
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NPS Report Number
Sponsors
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.