Aerodynamic parameter estimation of an Unmanned Aerial Vehicle based on extended kalman filter and its higher order approach

Aerodynamic parameter estimation provides an effective way for aerospace system modelling using measured data from flight test, especially for the purpose of developing elaborate simulation environments and control systems design of Unmanned Aerial Vehicle (UAV) with short design cycles and reduced...

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Bibliographic Details

Published in:	2010 2nd International Conference on Advanced Computer Control Vol. 5; pp. 526 - 531
Main Authors:	Li Meng, Liu Li, Veres, S M
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.03.2010
Subjects:	Aerodynamic Parameter Estimation Aerodynamics Aerospace control Aerospace simulation Aerospace testing Extended Kalman Filter (EKF) Filtering Nonlinear dynamical systems Parameter estimation System testing Unmannd Aerial Vehicle (UAV) Unmanned aerial vehicles Vehicle dynamics
ISBN:	1424458455, 9781424458455
Online Access:	Get full text
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