@inproceedings{6fc4ef3f5e74478fa420db5d9ec5e7f5,
title = "Graph-based electro-mechanical modeling of a hybrid unmanned aerial vehicle for real-time applications",
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.",
author = "Aksland, {Christopher T.} and Bixel, {Tyler W.} and Raymond, {Logan C.} and Rottmayer, {Michael A.} and Alleyne, {Andrew G.}",
note = "Publisher Copyright: {\textcopyright} 2019 American Automatic Control Council.; 2019 American Control Conference, ACC 2019 ; Conference date: 10-07-2019 Through 12-07-2019",
year = "2019",
month = jul,
language = "English (US)",
series = "Proceedings of the American Control Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "4253--4259",
booktitle = "2019 American Control Conference, ACC 2019",
address = "United States",
}