TY - GEN
T1 - Graph-based electro-mechanical modeling of a hybrid unmanned aerial vehicle for real-time applications
AU - Aksland, Christopher T.
AU - Bixel, Tyler W.
AU - Raymond, Logan C.
AU - Rottmayer, Michael A.
AU - Alleyne, Andrew G.
N1 - 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.
PY - 2019/7
Y1 - 2019/7
N2 - 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.
AB - 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.
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M3 - Conference contribution
AN - SCOPUS:85072299137
T3 - Proceedings of the American Control Conference
SP - 4253
EP - 4259
BT - 2019 American Control Conference, ACC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 American Control Conference, ACC 2019
Y2 - 10 July 2019 through 12 July 2019
ER -