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

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 proceeding › Conference contribution

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 language	English (US)
Title of host publication	2019 American Control Conference, ACC 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	4253-4259
Number of pages	7
ISBN (Electronic)	9781538679265
State	Published - Jul 2019
Externally published	Yes
Event	2019 American Control Conference, ACC 2019 - Philadelphia, United States Duration: Jul 10 2019 → Jul 12 2019

Publication series

Name	Proceedings of the American Control Conference
Volume	2019-July
ISSN (Print)	0743-1619

Conference

Conference	2019 American Control Conference, ACC 2019
Country/Territory	United States
City	Philadelphia
Period	7/10/19 → 7/12/19

Bibliographical note

Publisher Copyright:
© 2019 American Automatic Control Council.

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Aksland, C. T., Bixel, T. W., Raymond, L. C., Rottmayer, M. A., & Alleyne, A. G. (2019). Graph-based electro-mechanical modeling of a hybrid unmanned aerial vehicle for real-time applications. In 2019 American Control Conference, ACC 2019 (pp. 4253-4259). Article 8814930 (Proceedings of the American Control Conference; Vol. 2019-July). Institute of Electrical and Electronics Engineers Inc..

Graph-based electro-mechanical modeling of a hybrid unmanned aerial vehicle for real-time applications. / Aksland, Christopher T.; Bixel, Tyler W.; Raymond, Logan C. et al.
2019 American Control Conference, ACC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 4253-4259 8814930 (Proceedings of the American Control Conference; Vol. 2019-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Aksland, CT, Bixel, TW, Raymond, LC, Rottmayer, MA & Alleyne, AG 2019, Graph-based electro-mechanical modeling of a hybrid unmanned aerial vehicle for real-time applications. in 2019 American Control Conference, ACC 2019., 8814930, Proceedings of the American Control Conference, vol. 2019-July, Institute of Electrical and Electronics Engineers Inc., pp. 4253-4259, 2019 American Control Conference, ACC 2019, Philadelphia, United States, 7/10/19.

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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.",

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

Abstract

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