Two-Stage Kalman Filter for Fault Tolerant Estimation of Wind Speed and UAV Flight Parameters

Two-Stage Kalman Filter for Fault Tolerant Estimation of Wind Speed and UAV Flight Parameters

In this study, an estimation algorithm based on a two-stage Kalman filter (TSKF) was developed for wind speed and Unmanned Aerial Vehicle (UAV) motion parameters. In the first stage, the wind speed estimation algorithm is used with the help of the Global Positioning System (GPS) and dynamic pressure...

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Bibliographic Details
Main Authors: Hajiyev Chingiz, Cilden-Guler Demet, Hacizade Ulviye
Format: Article
Language:English
Published: Sciendo 2020-02-01
Series:Measurement Science Review
Subjects:
unmanned aerial vehicle
kalman filter
fault detection
wind speed
gps
pitot tube
Online Access:https://doi.org/10.2478/msr-2020-0005

Internet

https://doi.org/10.2478/msr-2020-0005

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