Digital twin concept for aircraft sensor failure

Omar Hazbon Alvarez, Luis Gutierrez Zea, Cees Bil, Marcello Napolitano, Mario L. Fravolini

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Scopus citations

    Abstract

    The aircraft air data system is used for estimating vital flight parameters for correct and safe aircraft operations. One of the main components in this system is the Pitot tube sensor which is responsible for measuring the total pressure and in conjunction with the static pressure port estimates parameters like altitude, air speed, vertical speed and Mach number. The Pitot tube is prone to failure because of external adverse atmospheric conditions. The current research aims to develop a solution to the aircraft loss of control caused by unreliable and/or faulty airspeed measurements by developing an air data system tolerant to the Pitot sensor failure based on extra sensor measurements and an estimation algorithm that uses a digital twin aircraft dynamic model as a virtual sensor.

    Original languageEnglish
    Title of host publicationTransdisciplinary Engineering for Complex Socio-technical Systems - Proceedings of the 26th ISTE International Conference on Transdisciplinary Engineering
    EditorsKazuo Hiekata, `Brian Moser, Brian Moser, Masato Inoue, Josip Stjepandic, Nel Wognum
    PublisherIOS Press BV
    Pages370-379
    Number of pages10
    ISBN (Electronic)9781614994398
    DOIs
    StatePublished - 7 Oct 2019
    Event26th ISTE International Conference on Transdisciplinary Engineering, TE 2019 - Tokyo, Japan
    Duration: 30 Jul 20191 Aug 2019

    Publication series

    NameAdvances in Transdisciplinary Engineering
    Volume10

    Conference

    Conference26th ISTE International Conference on Transdisciplinary Engineering, TE 2019
    Country/TerritoryJapan
    CityTokyo
    Period30/07/191/08/19

    Bibliographical note

    Publisher Copyright:
    © 2019 The authors and IOS Press.

    Keywords

    • Digital twin
    • Flight safety
    • Human factors
    • Sensor failure

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