Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/45454
Title: Análise de algoritmos de alinhamento em AHRS
Other Titles: Analysis of Alignment Algorithms in AHRS
Authors: Silva, Felipe Oliveira e
Barros, Ettore Apolônio de
Lima, Danilo Alves de
Keywords: Sistemas de navegação
Sistemas de Referência de Orientação e Rumo (AHRS)
Alinhamento
Navegação autônoma
Navigation system
Alignment
Attitude and Heading Reference Systems (AHRS)
Autonomous navigation
Issue Date: 12-Nov-2020
Publisher: Universidade Federal de Lavras
Citation: PAIVA, L. P. S. Análise de algoritmos de alinhamento em AHRS. 2020. 90 p. Dissertação (Mestrado em Engenharia de Sistemas e Automação) – Universidade Federal de Lavras, Lavras, 2020.
Abstract: In most autonomous navigation systems, the initial orientation of the vehicle is not known. The alignment is a phase that precedes the navigation step, and is responsible for determining the orientation of the vehicle. However, low-grade inertial sensors are not recommended to perform the alignment process, since the readings of their angular rate sensors are not capable of providing accurate measurements of the Earth’s rotation rate. Therefore, some authors propose the use of magnetometers, and the observation of the Earth’s magnetic field density vector in the alignment. This project investigates the problem of stationary alignment for low-grade Attitude and Heading Reference Systems (AHRS). In this work, we present the error analysis for six alignment algorithms. These are: Three-Axis Attitude Determination (TRIAD), QUaternion ESTimator (QUEST), Euler angle-Based Algorithm(EBA), Factored Quaternion Algorithm (FQA), Algebraic Quaternion Algorithm (AQUA) e Super Fast Attitude Determination Algorithm for Consumer-Level Accelerometer and Magnetometer (SAAM). All of them propose the use of accelerometers and magnetometers to estimate the system orientation, but using different methodologies. As a contribution of this project, we highlight the study of algorithms capable of determining precise orientation values using low-grade sensors. Simulated and experimental results corroborate the proposed errors analysis, evidencing the main differences, advantages and disadvantages of the use of each of these algorithms. Thus, this work serves as a basis for future research, especially those aimed at autonomous navigation using low-grade sensors.
URI: http://repositorio.ufla.br/jspui/handle/1/45454
Appears in Collections:Engenharia de Sistemas e automação (Dissertações)

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