<abstract xmlns="http://www.w3.org/1999/xhtml"><p> This paper considers the problem of attitude sensor fault diagnosis in a quadrotor helicopter. The proposed approach is composed of two stages. The first one is the modelling of the system attitude dynamics taking into account the induced communication constraints. Then a robust fault detection and evaluation scheme is proposed using a post-filter designed under a particular design objective. This approach is compared with previous results based on the standard Kalman filter and gives better results for sensor fault diagnosis.</p></abstract>

This paper considers the problem of attitude sensor fault diagnosis in a quadrotor helicopter. The proposed approach is composed of two stages. The first one is the modelling of the system attitude dynamics taking into account the induced communication constraints. Then a robust fault detection and evaluation scheme is proposed using a post-filter designed under a particular design objective. This approach is compared with previous results based on the standard Kalman filter and gives better results for sensor fault diagnosis.

Fault diagnosis in a networked control system under communication constraints:
A quadrotor application


CRAN CNRS UMR 7039 University of Lorraine, BP239, 54506 Vandoeuvre Cedex, France

International Journal of Applied Mathematics and Computer Science

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Fault diagnosis in a networked control system under communication constraints:
A quadrotor application

This paper considers the problem of attitude sensor fault diagnosis in a quadrotor helicopter. The proposed approach is composed of two stages. The first one...

Fault diagnosis in a networked control system under communication constraints: A quadrotor application

Online veröffentlicht: 20. Dez. 2014

Seitenbereich: 809 - 820

Eingereicht: 15. Juli 2013

DOI: https://doi.org/10.2478/amcs-2014-0060

© by Karim Chabir

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.