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 :
بازگشت