Abstract
This paper address the kinematic variables control problem for the low-speed manoeuvring of a low cost and underactuated underwater vehicle. Control of underwater vehicles is not simple, mainly due to the non-linear and coupled character of plant equations, the lack of a precise model of vehicle dynamics and parameters, as well as the appearance of internal and external perturbations. The proposed methodology is an approach that makes use of a pioneering algorithm in underwater vehicles, based on the fusion of a robust or sliding mode controller and an adaptive fuzzy system, including the advantages of both systems. The main property of this methodology is that it relaxes the required knowledge of vehicle model, reducing the cost of its design.
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References
Goheen, K., Jefferys, E.R.: On the adaptive control of remotely operated underwater vehicles. Journal Adaptive Control and signal processing 4, 287–297 (1990)
Koivo, H.N.: A multivariable self-tuning controller. Automatica 16(4), 351–366 (1980)
Hsu, L., Costa, R.R., Lizaralde, F., Cunha, J.P.V.S.: Dynamic positioning of remotely operated underwater vehicles. IEEE Robot Automatic Magazine 7, 21–31 (2000)
Yoerger, D.R., Slotine, J.J.: Adaptive sliding control of an experimental underwater vehicle. In: IEEE International conference on Robotics and Automation, pp. 2746–2751 (1991)
Yoerger, D.R., Slotine, J.J.: Robust Trajectory Control of Underwater Vehicles. IEEE Journal of Oceanic Engineering 10, 462–470 (1985)
Cristi, R., Papoulias, F.A., Healey, A.: Adaptive sliding control mode of autonomous underwater vehicles in the dive plane. IEEE Journal of Oceanic Engineering 15, 462–470 (1991)
Fossen, T.I., Paulsen, M.: Adaptive Feedback linearization Applied to Steering of Ships. In: Proc. of the IEEE Conference on Control Applications, pp. 1088–1093 (1991)
Slotine, J.J., Li, W.: Applied non-linear control. Prentice Hall, Englewood Cliffs (1991)
Fossen, T.I., Fjellstad, O.E.: Robust Adaptive Control of Underwater Vehicles: A Comparative Study. In: Proc. of the IFAC Workshop on Control Applications in Marine Systems, pp. 66–74 (1995)
Smallwood, D.A., Whitcomb, L.L.: Model-based Dynamic positioning of underwater Robotic Vehicles: Theory and Experiment. IEEE Journal of Oceanic Engineering 29 (January 2004)
Yuh, J.: Learning control for Underwater Robotics Vehicles. IEEE Control System Magazine 14, 39–46 (1994)
De Bitetto, P.A.: Fuzzy logic for depth control for unmanned undersea vehicles. In: Proc. of Symposium of Autonomous Underwater Vehicle Technology (1994)
Wang, J., Get, S.S., Lee, T.H.: Adaptive Fuzzy Sliding Mode Control of a Class of Non-linear Systems. In: Proc. of the 3rd Asian Control Conference (2000)
Fossen, T.I.: Underwater vehicle dynamics. John Wiley & Sons Ltd., Baffins Lane (1994)
Wang, L.X.: Adaptive Fuzzy Systems and Control. Prentice Hall, Englewood Cliff (1994)
Sebastián, E.: Control y navegación semi-autónoma de un robot subacuático para la inspección de entornos desconocidos, doctoral diss., Universidad de Alcalá. Departamento de Electrónica (2005)
Manfredi, J.A., Sebastián, E., Gomez-Elvira, J., Martín, J., Torres, J.: Snorkel: vehículo subacuático para la exploración del río Tinto. In: Proc. of XXII Jornadas de Automática (2001)
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Sebastián, E. (2006). Adaptive Fuzzy Sliding Mode Controller for the Snorkel Underwater Vehicle. In: Nolfi, S., et al. From Animals to Animats 9. SAB 2006. Lecture Notes in Computer Science(), vol 4095. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11840541_70
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DOI: https://doi.org/10.1007/11840541_70
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-38608-7
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