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Detection of icing and actuators faults in the longitudinal dynamics of small UAVs using an LPV proportional integral unknown input observer

Rotondo, Damiano; Cristofaro, Andrea; Johansen, Tor Arne; Nejjari, Fatiha; Puig, Vicenç
Journal article, Peer reviewed
Accepted version
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URI
https://hdl.handle.net/11250/2977594
Date
2016
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  • Institutt for teknisk kybernetikk [4103]
  • Publikasjoner fra CRIStin - NTNU [41955]
Original version
10.1109/SYSTOL.2016.7739829
Abstract
This paper proposes a linear parameter varying proportional integral unknown input observer (PI-UIO) for the diagnosis of actuator faults and icing in unmanned aerial vehicles. It is shown that in presence of sensor noise, the proposed PI-UIO has the advantage of being affected by the noise, but not by its derivative. Another contribution of the paper is the introduction of an icing to wind/noise ratio, which allows performing an optimal tuning of some PI-UIO design parameters. Results obtained with a Zagi Flying Wing simulator are used to validate the effectiveness of the proposed approach.
Publisher
IEEE

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