Resumen
The present research paper deals with identification of an Autonomous Underwater Vehicle (AUV) system using Kalman filter and maximum likelihood estimation approaches in order to get an accuracy and more representative nominal model. Despite all efforts in modelling of the vehicle, uncertainties in the parameters can appear because some dynamics are difficult to be modelled and, eventually, are neglected. Complementary, the paper aims the problem of robust control in the sway and yaw dynamics assuming uncertainties, perturbations and noises. The results are shown by simulated data.
Idioma original | Inglés |
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Título de la publicación alojada | Proceedings of the 18th IFAC World Congress |
Editorial | IFAC Secretariat |
Páginas | 14735-14741 |
Número de páginas | 7 |
Edición | 1 PART 1 |
ISBN (versión impresa) | 9783902661937 |
DOI | |
Estado | Publicada - 2011 |
Publicado de forma externa | Sí |
Serie de la publicación
Nombre | IFAC Proceedings Volumes (IFAC-PapersOnline) |
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Número | 1 PART 1 |
Volumen | 44 |
ISSN (versión impresa) | 1474-6670 |
Nota bibliográfica
Funding Information:This work is funded by the Brazilian Council, FAPESP.
Funding Information:
The authors express their acknowledgements to FAPESP for the financial support given to this research.