EKF-Based Parameter Identification of Multi-Rotor Unmanned Aerial VehiclesModels

EKF-Based Parameter Identification of Multi-Rotor Unmanned Aerial VehiclesModels

This work presents a method for estimating the model parameters of multi-rotor unmanned aerial vehicles by means of an extended Kalman filter. Different from test-bed based identification methods, the proposed approach estimates all the model parameters of a multi-rotor aerial vehicle, using a singl...

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Bibliographic Details
Main Authors: Rodrigo Munguía, Sarquis Urzua, Antoni Grau
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Sensors
Subjects:
unmanned aerial vehicles
multi-rotor
parameter identification
observability analysis
kalman filter
Online Access:https://www.mdpi.com/1424-8220/19/19/4174

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