The attitude determination problem from two reference vectors- a description of the triad algorithm and its attitude covariance matrix

The attitude determination problem from two reference vectors- a description of the triad algorithm and its attitude covariance matrix

Authors

  • Francisco Granziera Junior Universidade Estadual de Londrina
  • Roberto Vieira da Fonseca Lopes Instituto Nacional de Pesquisas Espaciais
  • Marcelo Carvalho Tosin Universidade Estadual de Londrina

DOI:

https://doi.org/10.5433/1679-0375.2007v28n1p21

Keywords:

Attitude determination, Triad, Covariance matrix.

Abstract

This article presents a description of the TRIAD algorithm, which utilizes two vector observations for determining a body three-dimensional attitude. This algorithm describes a deterministic form to calculate the attitude and it does not constitute the optimal solution for the problem, but can be implemented efficiently on computers. The Cartesian covariance matrix for this algorithm is also presented. This matrix calculation are addressed in details, resulting in a simple analytical formula based on two different sensor sets measurements in the body frame. The solutions presented are suited to implement highly integrated attitude determination systems that employ MEMS (Micro-Electro-Mechanical Systems) technology sensors and low cost microcontrollers.

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Author Biographies

Francisco Granziera Junior, Universidade Estadual de Londrina

Professor Colaborador. Departamento de Engenharia Elétrica da Universidade Estadual de Londrina.

Roberto Vieira da Fonseca Lopes, Instituto Nacional de Pesquisas Espaciais

Tecnologista. INPE. Divisão de Sistemas Espaciais. Cx. Postal 515, São José dos Campos-SP.

Marcelo Carvalho Tosin, Universidade Estadual de Londrina

Professor. Departamento de engenharia Elétrica. Universidade Estadual de Londrina.

Published

2007-07-15

How to Cite

Granziera Junior, F., Lopes, R. V. da F., & Tosin, M. C. (2007). The attitude determination problem from two reference vectors- a description of the triad algorithm and its attitude covariance matrix. Semina: Ciências Exatas E Tecnológicas, 28(1), 21–36. https://doi.org/10.5433/1679-0375.2007v28n1p21

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Section

Original Article

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