@MastersThesis{Leite:2019:SiNaIn,
author = "Leite, Leonardo Kameyama de Castro",
title = "Sistema de navega{\c{c}}{\~a}o inercial baseado na
integra{\c{c}}{\~a}o de uma IMU de classe t{\'a}tica com
receptor GPS",
school = "Instituto Nacional de Pesquisas Espaciais (INPE)",
year = "2019",
address = "S{\~a}o Jos{\'e} dos Campos",
month = "2019-03-28",
keywords = "Navega{\c{c}}{\~a}o auxiliada, navega{\c{c}}{\~a}o inercial,
autoalinhamento grosseiro, filtro de kalman cubature, aided
inertial navigation, inertial navigation, coarse self-alignment,
cubature Kalman filter.",
abstract = "Esta disserta{\c{c}}{\~a}o tem como objetivo apresentar um
procedimento de integra{\c{c}}{\~a}o de informa{\c{c}}{\~o}es
de acelera{\c{c}}{\~a}o e de taxa angular de uma unidade de
medida inercial (UMI) de classe t{\'a}tica, {\`a}s medidas de
uma massa de dados oriunda de um experimento real, emuladas como
de um receptor GPS. Para tanto, foram aplicados m{\'e}todos de
autoalinhamento grosseiro, algoritmo de navega{\c{c}}{\~a}o
puramente inercial e filtro de kalman cubature. Esta
constru{\c{c}}{\~a}o foi demonstrada atrav{\'e}s do
detalhamento de equa{\c{c}}{\~o}es de navega{\c{c}}{\~a}o
inercial utilizadas para integrar movimento e atitude de um
sistema com sensores inerciais solid{\'a}rios (strapdown);
m{\'e}todos de autoalinhamento grosseiro cl{\'a}ssico (TRIAD) e
novo (ON-TRIAD); m{\'e}todos de filtragem de kalman cl{\'a}ssica
e o chamado kalman cubature. Foi feita a compara{\c{c}}{\~a}o do
resultado da implementa{\c{c}}{\~a}o da navega{\c{c}}{\~a}o
puramente inercial utilizando o autoalinhamento TRIAD contra a o
resultado da implementa{\c{c}}{\~a}o da navega{\c{c}}{\~a}o
puramente inercial utilizando o autoalinhamento ON-TRIAD.
Tamb{\'e}m foi feita a implementa{\c{c}}{\~a}odo algoritmo
navega{\c{c}}{\~a}o inercial auxiliado por GPS utilizando filtro
de kalman cubature. ABSTRACT: The objective of this work is to
present a procedure for integration of information from
acceleration and angular rates, stemming from a tactical grade
inertial measurement unit (IMU), with the measurement from a real
experiment data mass emulated as GPS receiver. For this purpose,
there were applied methods of coarse self-alignment, inertial
navigation and cubature kalman filter. This framework was
demonstrated with the description of detailed inertial navigation
equations used to integrate attitude and movement from a strapdown
inertial system; classic TRIAD and new ON-TRIAD coarse
self-alignment methods; and the stochastic method of kalman filter
and cubature kalman filter. After development and implementation
of the algorithms, it has been made the comparsion between a pure
inertial navigation algorithm with coarse selfalignment performed
by TRIAD and ON-TRIAD. Also, the algorithm of inertial navigation
aided with GPS using cubature kalman filter has been made.",
committee = "Ricci, Mario Cesar (presidente) and Kuga, H{\'e}lio Koiti
(orientador) and Carrara, Valdemir and Santos, Davi Antonio dos",
englishtitle = "Inertial navigation system based from tactical class IMU and GPS
receptor integration",
language = "pt",
pages = "112",
ibi = "8JMKD3MGP3W34R/3T2LU62",
url = "http://urlib.net/ibi/8JMKD3MGP3W34R/3T2LU62",
targetfile = "publicacao.pdf",
urlaccessdate = "20 abr. 2024"
}