Simultaneous Actuator and Sensor Faults Estimation for Aircraft Using a Jump-Markov Regularized Particle Filter

Enzo Iglésis, Nadjim Horri, James Brusey, Karim Dahia, Hélène Piet-Lahanier

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

    1 Citation (Scopus)
    25 Downloads (Pure)

    Abstract

    The advances in aircraft autonomy have led to an increased demand for robust sensor and actuator fault detection and estimation methods in challenging situations including the onset of ambiguous faults. In this paper, we consider potential simultaneous fault on sensors and actuators of an Unmanned Aerial Vehicle. The faults are estimated using a Jump-Markov Regularized Particle Filter. The jump Markov decision process is used within a regularized particle filter structure to drive a small subset of particles to test the likelihood of the alternate hypothesis to the current fault mode. A prior distribution of the fault is updated using innovations based on predicted control and measurements. Fault scenarios were focused on cases when the impacts of the actuator and sensor faults are similar. Monte Carlo simulations illustrate the ability of the approach to discriminate between the two types of faults and to accurately and rapidly estimate them. The states are also accurately estimated.

    Original languageEnglish
    Title of host publication2021 IEEE International Conference on Prognostics and Health Management, ICPHM 2021
    Place of PublicationDetroit, USA
    PublisherIEEE
    Number of pages10
    ISBN (Electronic)978-1-6654-1970-3
    DOIs
    Publication statusPublished - 7 Jun 2021
    Event2021 IEEE International Conference on Prognostics and Health Management: Enhancing Safety, Efficiency, Availability, and Effectiveness of Systems through PHM Technology and Application - Remote event, Detroit, United States
    Duration: 7 Jun 20219 Jun 2021
    https://www.phmconf.org/

    Publication series

    Name2021 IEEE International Conference on Prognostics and Health Management, ICPHM 2021

    Conference

    Conference2021 IEEE International Conference on Prognostics and Health Management
    Abbreviated titleICPHM2021
    Country/TerritoryUnited States
    CityDetroit
    Period7/06/219/06/21
    Internet address

    Bibliographical note

    © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

    ASJC Scopus subject areas

    • Safety, Risk, Reliability and Quality
    • Strategy and Management

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