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Motor Speed Transfer Function for Wind Vector Estimation on Multirotor Aircraft
Bundesanstalt für Materialforschung und -prüfung (BAM), Berlin, Germany. (AASS MRO Lab)
Bundesanstalt für Materialforschung und -prüfung (BAM), Berlin, Germany.
Bundesanstalt für Materialforschung und -prüfung (BAM), Berlin, Germany.
Örebro University, School of Science and Technology. (Mobile Robotics & Olfaction Lab)ORCID iD: 0000-0003-0217-9326
2017 (English)In: 34th Danubia-Adria Symposium on Advances in Experimental Mechanics: Book of proceedings / [ed] F. Cosmi, Trieste, Italy: EUT Edizioni Università di Trieste , 2017, p. 75-77Conference paper, Published paper (Refereed)
Abstract [en]

A set of equations is derived to estimate the 3D wind vector with a multirotor aircraft using the aircraft itself as a flying anemometer. Since the thrust component is required to compute the wind vector, the PWM signal controlling the motors of the aircraft is measured and a transfer function describing the relation between the PWM signal and the rotational speed of the motors is derived.

Place, publisher, year, edition, pages
Trieste, Italy: EUT Edizioni Università di Trieste , 2017. p. 75-77
Keywords [en]
Anemometer, Multicopter, UAV, PWM, Wind
National Category
Robotics Signal Processing
Research subject
Mechanical Engineering; Electrical Engineering
Identifiers
URN: urn:nbn:se:oru:diva-71525ISBN: 978-88-8303-863-1 (print)OAI: oai:DiVA.org:oru-71525DiVA, id: diva2:1279636
Conference
34th Danubia-Adria Symposium on Advances in Experimental Mechanics, Trieste, Italy, 19-22 September 2017
Available from: 2019-01-17 Created: 2019-01-17 Last updated: 2019-04-03Bibliographically approved

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34th Danubia-Adria Symposium on Advances in Experimental Mechanics: Book of Proceedings

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Hüllmann, DinoLilienthal, Achim

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Citation style
  • apa
  • ieee
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  • de-DE
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Output format
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  • asciidoc
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