Modeling and ARX identification of a quadrotor MiniUAV

Atakan Sarioǧlu; Ayhan Kural

doi:10.1109/ELECO.2015.7394513

Modeling and ARX identification of a quadrotor MiniUAV

Atakan Sarioǧlu, Ayhan Kural

Department of Mechanical Engineering

Istanbul Technical University

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

8 Citations (Scopus)

Abstract

In this work, a miniature-sized, radio controlled quadrotor is modeled and a black-box model is found using real-time flight data. The quadrotor which is used in this work is equipped with a special telemetry circuit to collect real-time data. Euler angles versus motor speeds data is used to identify the nonlinear rotational subsystem of the quadrotor as a quasi-linear ARX (auto-regressive exogenous) model. The ARX model performances are tested and found quite satisfactory.

Original language	English
Title of host publication	ELECO 2015 - 9th International Conference on Electrical and Electronics Engineering
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1196-1200
Number of pages	5
ISBN (Electronic)	9786050107371
DOIs	https://doi.org/10.1109/ELECO.2015.7394513
Publication status	Published - 28 Jan 2016
Event	9th International Conference on Electrical and Electronics Engineering, ELECO 2015 - Bursa, Turkey Duration: 26 Nov 2015 → 28 Nov 2015

Publication series

Name	ELECO 2015 - 9th International Conference on Electrical and Electronics Engineering

Conference

Conference	9th International Conference on Electrical and Electronics Engineering, ELECO 2015
Country/Territory	Turkey
City	Bursa
Period	26/11/15 → 28/11/15

Bibliographical note

Publisher Copyright:
© 2015 Chamber of Electrical Engineers of Turkey.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/ELECO.2015.7394513

Cite this

Sarioǧlu, A., & Kural, A. (2016). Modeling and ARX identification of a quadrotor MiniUAV. In ELECO 2015 - 9th International Conference on Electrical and Electronics Engineering (pp. 1196-1200). Article 7394513 (ELECO 2015 - 9th International Conference on Electrical and Electronics Engineering). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ELECO.2015.7394513

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abstract = "In this work, a miniature-sized, radio controlled quadrotor is modeled and a black-box model is found using real-time flight data. The quadrotor which is used in this work is equipped with a special telemetry circuit to collect real-time data. Euler angles versus motor speeds data is used to identify the nonlinear rotational subsystem of the quadrotor as a quasi-linear ARX (auto-regressive exogenous) model. The ARX model performances are tested and found quite satisfactory.",

author = "Atakan Sarioǧlu and Ayhan Kural",

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Sarioǧlu, A & Kural, A 2016, Modeling and ARX identification of a quadrotor MiniUAV. in ELECO 2015 - 9th International Conference on Electrical and Electronics Engineering., 7394513, ELECO 2015 - 9th International Conference on Electrical and Electronics Engineering, Institute of Electrical and Electronics Engineers Inc., pp. 1196-1200, 9th International Conference on Electrical and Electronics Engineering, ELECO 2015, Bursa, Turkey, 26/11/15. https://doi.org/10.1109/ELECO.2015.7394513

Modeling and ARX identification of a quadrotor MiniUAV. / Sarioǧlu, Atakan; Kural, Ayhan.
ELECO 2015 - 9th International Conference on Electrical and Electronics Engineering. Institute of Electrical and Electronics Engineers Inc., 2016. p. 1196-1200 7394513 (ELECO 2015 - 9th International Conference on Electrical and Electronics Engineering).

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

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AB - In this work, a miniature-sized, radio controlled quadrotor is modeled and a black-box model is found using real-time flight data. The quadrotor which is used in this work is equipped with a special telemetry circuit to collect real-time data. Euler angles versus motor speeds data is used to identify the nonlinear rotational subsystem of the quadrotor as a quasi-linear ARX (auto-regressive exogenous) model. The ARX model performances are tested and found quite satisfactory.

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Modeling and ARX identification of a quadrotor MiniUAV

Abstract

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Bibliographical note

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