Interval Fuzzy Model for Robust Aircraft IMU Sensors Fault Detection

Interval Fuzzy Model for Robust Aircraft IMU Sensors Fault Detection

This paper proposes a data-based approach for a robust fault detection (FD) of the inertial measurement unit (IMU) sensors of an aircraft. Fuzzy interval models (FIMs) have been introduced for coping with the significant modeling uncertainties caused by poorly modeled aerodynamics. The proposed FIMs...

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Bibliographic Details
Main Authors: Michele Crispoltoni, Mario Luca Fravolini, Fabio Balzano, Stephane D’Urso, Marcello Rosario Napolitano
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Sensors
Subjects:
fault detection
fuzzy interval models
linear matrix inequalities
inertial navigation system
data-driven modelling
Online Access:http://www.mdpi.com/1424-8220/18/8/2488

Internet

http://www.mdpi.com/1424-8220/18/8/2488

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