Title :
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
fDate :
Nov. 28 2006-Dec. 1 2006
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;
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
DOI :
10.1109/CIMCA.2006.224
