Stammdaten

On-Wing Temperature Estimation and Control for Anti-Icing System on Aircraft
Untertitel:
Kurzfassung:

Anti-icing and de-icing systems for aircraft wings are an extensively studied topic for many decades. Most of those systems try to determine if icing-conditions are present and prevent the wing from icing by a simple heating process. The determination of icing-conditions is either done visually by the pilot or by dedicated sensors. However, due to the harsh-conditions and high velocity of aircraft’s, measuring conditions such as temperature is very difficult. Consequently, the sensor information is very uncertain and for safety reasons the demand of heating energy is over-estimated. Also, the sensor units do not measure the on-wing temperature directly due to thermal resistances coupled with air and the wing. Hence, to obtain the actual on-wing temperature, statistical filtering methods are implemented and used by the controller of the heating system in order to stabilize the temperature on the wing surface. This prevents the wing from icing without over-heating which is beneficial for energy savings. This paper introduces an approach to accurately estimate and control the on-wing temperature using a wireless on-wing sensor.

Schlagworte:
Publikationstyp: Beitrag in Proceedings (Autorenschaft)
Art der Veröffentlichung Online Publikation
Erschienen in: IEEE International Instrumentation and Measurement Technology Conference 2019 (I2MTC)
IEEE International Instrumentation and Measurement Technology Conference 2019 (I2MTC)
zur Publikation
 ( IEEE; )
Erscheinungdatum: 09.09.2019
Titel der Serie: -
Bandnummer: -
Erstveröffentlichung: Ja
Version: -
Seite: -

Identifikatoren

ISBN:
  • 978-1-5386-3460-8
ISSN: 2642-2077
DOI: http://dx.doi.org/10.1109/I2MTC.2019.8826924
AC-Nummer: -
Homepage: https://ieeexplore.ieee.org/abstract/document/8826924
Open Access
  • Kein Open-Access

Zuordnung

Organisation Adresse
Fakultät für Technische Wissenschaften
 
Institut für Intelligente Systemtechnologien
Universitätsstraße 65-67
9020  Klagenfurt am Wörthersee
Österreich
   hubert.zangl@aau.at
http://www.uni-klu.ac.at/tewi/ict/sst/index.html
zur Organisation
Universitätsstraße 65-67
AT - 9020  Klagenfurt am Wörthersee

Kategorisierung

Sachgebiete
  • 202022 - Informationstechnik
Forschungscluster Kein Forschungscluster ausgewählt
Peer Reviewed
  • Ja
Publikationsfokus
  • Science to Science (Qualitätsindikator: I)
Klassifikationsraster der zugeordneten Organisationseinheiten:
Arbeitsgruppen
  • Sensor- und Aktortechnik

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Beiträge der Publikation

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