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Inicio Revista Iberoamericana de Automática e Informática Industrial RIAI Control difuso para el seguimiento de guiñada del AUV Cormorán
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Vol. 12. Núm. 2.
Páginas 166-176 (abril - junio 2015)
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Vol. 12. Núm. 2.
Páginas 166-176 (abril - junio 2015)
Open Access
Control difuso para el seguimiento de guiñada del AUV Cormorán
Fuzzy control for yaw tracking of Cormoran AUV
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2619
Julián Gonzáleza, Spartacus Gomáriza,
Autor para correspondencia
spartacus.gomariz@upc.edu

Autor para correspondencia.
, Carles Batlleb
a Grupo SARTI, Departament d’Electrònica, Universitat Politècnica de Catalunya. Rbla. de l’Exposició, 61-69. Edificio Neápolis, 08800, Vilanova i la Geltrú, España
b Institut d’Organització i Control y Departament de Matemàtica Aplicada 4, Universitat Politécnica de Catalunya. EPSEVG, Av. V. Balaguer 1, 08800, Vilanova i la Geltrú, España
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Resumen

En este trabajo se presenta en detalle el diseño de un control difuso para el seguimiento de guiñada de un vehículo autónomo submarino. Este control está desarrollado a partir de la descripción matemática del modelo hidrodinámico del vehículo, que se estudia y discute bajo diferentes situaciones de velocidad de avance o cambios en la referencia de guiñada. Se linealiza el modelo matemático y se estudian diferentes controles lineales que son diseñados para actuar en situaciones concretas, de forma que el control difuso se encargue de manejar dichos controles de manera global.

Palabras clave:
fuzzy control
autonomous vehicles
linear control systems
mathematical models
continuous path control
Abstract

This work presents in detail the fuzzy control design for yaw tracking of an autonomous underwater vehicle. This control has been developed from the mathematical description of the hydrodynamic model of the vehicle, which is studied and discussed from different situations both in surge velocity as in changes in yaw reference. The model is linearized and several linear controls are designed for their actuation at certain situations, in a way that the fuzzy control allows to handle those controls globally.

Keywords:
fuzzy control
autonomous vehicles
linear control systems
mathematical models
continuous path control.
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