covid
Buscar en
Revista Iberoamericana de Automática e Informática Industrial RIAI
Toda la web
Inicio Revista Iberoamericana de Automática e Informática Industrial RIAI Control difuso para el seguimiento de guiñada del AUV Cormorán
Información de la revista
Vol. 12. Núm. 2.
Páginas 166-176 (abril - junio 2015)
Compartir
Compartir
Descargar PDF
Más opciones de artículo
Visitas
2530
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
Visitas
2530
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
Este artículo ha recibido

Under a Creative Commons license
Información del artículo
Resumen
Texto completo
Bibliografía
Descargar PDF
Estadísticas
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.
Referencias
[Aguiar and Hespanha, 2007]
A. Aguiar, J. Hespanha.
Trajectory-tracking and path-following of underactuated autonomous vehicles with parametric modeling uncertainty.
Automatic Control, IEEE Transactions on, 52 (aug. 2007), pp. 1362-1379
[DeWijs, 2000]
DeWijs, B., september 2000. Auv/rov propulsion thrusters. In: Proceedings of MTS/IEEE Conference and Exhibition OCEANS 2000. Vol. 1. Providence, Rhode Island, USA, pp. 173-176.
[Dong et al., 2005]
T. Dong, X. Liao, R. Zhang, Z. Sun, Y. Song.
Path tracking and obstacles avoidance of uavs - fuzzy logic approach. In: Fuzzy Systems FUZZ ‘05.
The 14th IEEE International Conference on, (2005), pp. 43-48
[Driankov et al., 1993]
D. Driankov, H. Hellendoorn, M. Reinfrank.
An introduction to fuzzy control.
Springer Verlag, (1993), pp. 12
[Encarnacao and Pascoal, 2001]
P. Encarnacao, A. Pascoal.
Combined trajectory tracking and path following: an application to the coordinated control of autonomous marine craft.
In: Decision and Control, 2001. Proceedings of the 40th IEEE Conference on, 1 (2001), pp. 964-969
[Fossen, 2002]
Fossen, T.I., 2002. Marine Control Systems Guidance, Navigation, and Control of Ships, Rigs and Underwater Vehicles. Marine Cybernetics, Trondheim, Norway.
[Gonza¿lez et al., 2011]
Gonza¿lez, J., Benezra, A., Goma¿riz, S., Garc¿ıa, A., September 2011. Hydrodynamic model, simulation and linear control for cormoran-auv. In: Martech 2011. Ca¿diz, Spain.
[Gonza¿lez et al., 2013]
Gonza¿lez, J., Masmitja‘, I., Goma¿riz, S., Llorenc, A., November 2013. Linear control of the yaw and rudder limitations for cormoran auv. In: Martech 2013. Girona, Spain.
[Jun et al., 2012]
Jun, S.W., Kim, D.W., Lee, H.J., Oct 2012. Design of t-s fuzzy-model-based diving control of autonomous underwater vehicles: Line of sight guidance approach. In: Control, Automation and Systems (ICCAS), 2012 12th International Conference on. pp. 2071-2073.
[Liu et al., 2012]
S. Liu, Y. Wei, Y. Gao.
3d path planning for auv using fuzzy logic. In: Computer Science and Information Processing (CSIP).
International Conference on, (2012), pp. 599-603
[Mamdani and Assilian, 1975]
E. Mamdani, S. Assilian.
An experiment in linguistic synthesis with a fuzzy logic controller.
International Journal of Man-Machine Studies, 7 (1975), pp. 1-13
[Reddy et al., 2010]
B. Reddy, Y. Srinivas, E. VenkataRamesh.
Analytical structures of gain-scheduled fuzzy pi controllers. In: Industrial Electronics, Control Robotics (IECR).
International Conference on, (2010), pp. 122-128
[Roig et al., 2005]
D. Roig, M. Martínez, B. Garau, A. Alvárez, J. Tintoré.
A low-cost autonomous vehicles for coastal sea monitoring.
Instrumentation Viewpoint, (2005), pp. 16-17
[Silvestre and Pascoal, 2007]
C. Silvestre, A. Pascoal.
Depth control for the infante auv using gain-scheduled reduced order output feedback.
Science Direct, (2007), pp. 883-895
[Takagi and Sugeno, 1985]
T. Takagi, M. Sugeno.
Fuzzy identification of systems and its applications to modelling and control.
IEEE Transactions on SMC, 15 (1985), pp. 116-132
[Valenciaga et al., 2007]
F. Valenciaga, P.F. Puleston, O. Calvo, G. Acosta.
Trajectory tracking of the cormoran auv based on a pi-mimo approach.
In: OCEANS 2007 - Europe, (2007), pp. 1-6
[Xiang et al., 2011]
X. Xiang, L. Lapierre, C. Liu, B. Jouvencel.
Path tracking: Combined path following and trajectory tracking for autonomous underwater vehicles.
In: Intelligent Robots and Systems (IROS), 2011 IEEE/RSJ International Conference on. IEEE, (2011), pp. 3558-3563
[Zadeh, 1965]
L.A. Zadeh.
Fuzzy sets.
Information and Control, 8 (1965), pp. 338-353
[Zhang et al., 2012]
W. Zhang, H. Wang, X. Bian, Z. Yan, G. Xia.
The application of self-tuning fuzzy pid control method to recovering auv.
In: Oceans, (2012), pp. 1-5
Copyright © 2013. EA
Opciones de artículo