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A Diagnostic Thau Observer for a Class of Unmanned Vehicles

Academic Article
Publication Date:
2012
abstract:
This paper addresses the problem of sensor fault detection for a wide class of Unmanned Vehicles (UVs). First a general model for UVs, based on the dynamics of a 6 Degrees Of Freedom (6-DOF) rigid body, subject to gravity and actuation forces, is presented. This model is shown to satisfy the necessary conditions to the existence of a non-linear observer (Thau) when proper assumptions for the actuation forces are made. The observer can thus be used to generate diagnostic residuals inside a Fault Detection (FD) system. Finally, the proposed approach is customized for sensor fault detection on an unmanned quad-rotor vehicle, and simulation results show the effectiveness of the adopted solution.
Iris type:
1.1 Articolo in rivista
Keywords:
Model-based fault diagnosis; Fault detection; Quad-rotor dynamics; Observers
List of contributors:
Freddi, Alessandro; S., Longhi; A., Monteriu'
Authors of the University:
FREDDI ALESSANDRO
Handle:
https://iris.uniecampus.it/handle/11389/10429
Published in:
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
Journal
  • Overview

Overview

URL

http://link.springer.com/article/10.1007%2Fs10846-012-9650-4
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