DocumentCode
655149
Title
Identification of Hydrodynamic Derivatives from AUV "Pirajuba" Using Extended Kalman Filter
Author
Pinheiro, Andre Ricardo Mendonca ; Apolonio De Barros, Ettore
fYear
2013
fDate
14-15 March 2013
Firstpage
11
Lastpage
16
Abstract
The paper shows a practical application of the use of Extended Kalman Filter (EKF) in determining the hydrodynamic derivatives of an Autonomous Underwater Vehicle for a (AUV). The work is worth the experimental results of the underwater vehicle "Pirajuba" developed by LVNT (Not Manned Vehicle Laboratory) of Polytechnic School from University of São Paulo (USP). Discuss in practical terms the convergence criteria of the Kalman filter, and process validation of the mathematical model to calculate the hydrodynamic derivatives.
Keywords
Kalman filters; autonomous underwater vehicles; hydrodynamics; AUV Pirajuba; EKF; autonomous underwater vehicle; extended Kalman filter; hydrodynamic derivative; Abstracts; Automation; Educational institutions; Hydrodynamics; Kalman filters; Mathematical model; Underwater vehicles; Hydrodynamic Derivativess; System Identification; UV;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing and Automation for Offshore Shipbuilding (NAVCOMP), 2013 Symposium on
Conference_Location
Rio Grande
Type
conf
DOI
10.1109/NAVCOMP.2013.9
Filename
6686107
Link To Document