Tomić, Teodor und Schmid, Korbinian und Lutz, Philipp und Mathers, Andrew und Haddadin, Sami (2016) The Flying Anemometer: Unified Estimation of Wind Velocity from Aerodynamic Power and Wrenches. In: IEEE International Conference on Intelligent Robots and Systems, Seiten 1637-1644. 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016-10-09 - 2016-10-14, Daejeon, Korea. doi: 10.1109/iros.2016.7759264.
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Kurzfassung
We consider the problem of estimating the wind velocity perceived by a flying multicopter, from data acquired by onboard sensors and knowledge of its aerodynamics model only. We employ two complementary methods. The first is based on the estimation of the external wrench (force and torque) due to aerodynamics acting on the robot in flight. Wind velocity is obtained by inverting an identified model of the aerodynamic forces. The second method is based on the estimation of the propeller aerodynamic power, and provides an estimate independent of other sensors.We show how to calculate components of the wind velocity using multiple aerodynamic power measurements, when the poses between them are known. The method uses the motor current and angular velocity as measured by the electronic speed controllers, essentially using the propellers as wind sensors. Verification of the methods and model identification were done using measurements acquired during autonomous flights in a 3D wind tunnel.
elib-URL des Eintrags: | https://elib.dlr.de/108004/ | ||||||||||||||||||||||||
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Dokumentart: | Konferenzbeitrag (Anderer) | ||||||||||||||||||||||||
Titel: | The Flying Anemometer: Unified Estimation of Wind Velocity from Aerodynamic Power and Wrenches | ||||||||||||||||||||||||
Autoren: |
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Datum: | 9 Oktober 2016 | ||||||||||||||||||||||||
Erschienen in: | IEEE International Conference on Intelligent Robots and Systems | ||||||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||||||
Open Access: | Ja | ||||||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||||||||||
DOI: | 10.1109/iros.2016.7759264 | ||||||||||||||||||||||||
Seitenbereich: | Seiten 1637-1644 | ||||||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||||||
Stichwörter: | wind speed estimation, quadrotor, multicopter, uav, optimization, wind tunnel | ||||||||||||||||||||||||
Veranstaltungstitel: | 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) | ||||||||||||||||||||||||
Veranstaltungsort: | Daejeon, Korea | ||||||||||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||||||||||
Veranstaltungsbeginn: | 9 Oktober 2016 | ||||||||||||||||||||||||
Veranstaltungsende: | 14 Oktober 2016 | ||||||||||||||||||||||||
Veranstalter : | IEEE | ||||||||||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||||||
HGF - Programm: | Raumfahrt | ||||||||||||||||||||||||
HGF - Programmthema: | Technik für Raumfahrtsysteme | ||||||||||||||||||||||||
DLR - Schwerpunkt: | Raumfahrt | ||||||||||||||||||||||||
DLR - Forschungsgebiet: | R SY - Technik für Raumfahrtsysteme | ||||||||||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | R - Vorhaben Multisensorielle Weltmodellierung (alt), R - Terrestrische Assistenz-Robotik (alt) | ||||||||||||||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||||||||||||||
Institute & Einrichtungen: | Institut für Robotik und Mechatronik (ab 2013) > Analyse und Regelung komplexer Robotersysteme Institut für Robotik und Mechatronik (ab 2013) > Autonomie und Fernprogrammierung Institut für Robotik und Mechatronik (ab 2013) > Perzeption und Kognition | ||||||||||||||||||||||||
Hinterlegt von: | Tomic, Teodor | ||||||||||||||||||||||||
Hinterlegt am: | 30 Nov 2016 09:29 | ||||||||||||||||||||||||
Letzte Änderung: | 24 Apr 2024 20:13 |
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