Graph-based electro-mechanical modeling of a hybrid unmanned aerial vehicle for real-time applications

Christopher T. Aksland, Tyler W. Bixel, Logan C. Raymond, Michael A. Rottmayer, Andrew G. Alleyne

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

Hybrid unmanned aerial vehicles (UAVs) are gaining popularity in the defense sector. The introduction of a high-power electrical network provides new challenges in thermal management and safe vehicle operation. Existing efforts have focused on the modeling and control of thermal systems. However, the dynamic behavior of the electrical and mechanical components increases the complexity of the power management system. To enable model-based system design and real-time application tool development, this paper presents a graph-based modeling framework to represent the dynamic behavior of electrical and mechanical components onboard a UAV. An algorithm for composing a system-level graph model from component-level graph models is introduced. Cell and motor models are experimentally validated. A fault detection case is presented for a UAV model to demonstrate modeling capability for real-time applications.

Original languageEnglish (US)
Title of host publication2019 American Control Conference, ACC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4253-4259
Number of pages7
ISBN (Electronic)9781538679265
StatePublished - Jul 2019
Externally publishedYes
Event2019 American Control Conference, ACC 2019 - Philadelphia, United States
Duration: Jul 10 2019Jul 12 2019

Publication series

NameProceedings of the American Control Conference
Volume2019-July
ISSN (Print)0743-1619

Conference

Conference2019 American Control Conference, ACC 2019
Country/TerritoryUnited States
CityPhiladelphia
Period7/10/197/12/19

Bibliographical note

Funding Information:
*Research supported by the National Science Foundation Engineering Research Center for Power Optimization of Electro-Thermal Systems (POETS) with cooperative agreement EEC-1449548.

Publisher Copyright:
© 2019 American Automatic Control Council.

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