UAV Linear and Nonlinear Estimation Using Extended Kalman Filter

Author

Kallapur, Abhijit G. ; Anavatti, Sreenatha G.

Author_Institution

Univ. of New South Wales at Australian Defence Force Acad., Canberra, ACT

fYear

2006

fDate

Nov. 28 2006-Dec. 1 2006

Firstpage

250

Lastpage

250

Abstract

UAV state and parameter estimation for three dynamic models is presented using techniques of extended Kalman filter. Two nonlinear models and one linear model are used for the identification of a small unmanned aerial vehicle (UAV), all of which are derived from a common UAV coupled, dynamic model.

Keywords

Kalman filters; aircraft control; nonlinear estimation; nonlinear filters; parameter estimation; remotely operated vehicles; state estimation; UAV; control design; dynamic model; extended Kalman filter; identification; linear estimation; nonlinear estimation; parameter estimation; state estimation; unmanned aerial vehicle; Aerodynamics; Australia; Couplings; Equations; Filters; Measurement units; Parameter estimation; State estimation; Unmanned aerial vehicles; Vehicle dynamics;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence for Modelling, Control and Automation, 2006 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on

Conference_Location

Sydney, NSW

Print_ISBN

0-7695-2731-0

Type

conf

DOI

10.1109/CIMCA.2006.224

Filename

4052858

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3101423