Adaptive Fuzzy Sliding Mode Controller for Underwater Vehicles

This paper proposes a fuzzy sliding mode controller (SMC) for autonomous underwater vehicles (AUVs). Control of an AUV is a challenging problem due to the highly nonlinear dynamics and unpredictable environmental disturbances. Therefore, AUV is a non-linear multi-input multi-output (MIMO) system. The proposed adaptive fuzzy controller can approximate the unknown system and provide strong robustness against model uncertainties and external disturbances. Its parameters will be adapted online to utilize control energy more efficiently.

[1]  Weiping Li,et al.  Applied Nonlinear Control , 1991 .

[2]  L. Rodrigues,et al.  Sliding mode control of an AUV in the diving and steering planes , 1996, OCEANS 96 MTS/IEEE Conference Proceedings. The Coastal Ocean - Prospects for the 21st Century.

[3]  Li-Xin Wang,et al.  Stable adaptive fuzzy controllers with application to inverted pendulum tracking , 1996, IEEE Trans. Syst. Man Cybern. Part B.

[4]  A. J. Healey,et al.  Multivariable sliding mode control for autonomous diving and steering of unmanned underwater vehicles , 1993 .

[5]  Rainer Palm,et al.  Robust control by fuzzy sliding mode , 1994, Autom..

[6]  John Y. Hung,et al.  Variable structure control: a survey , 1993, IEEE Trans. Ind. Electron..

[7]  Osamu Mochida,et al.  Prospects for the 21st Century , 1998 .

[8]  Woonchul Ham,et al.  Adaptive fuzzy sliding mode control of nonlinear system , 1998, IEEE Trans. Fuzzy Syst..

[9]  Junku Yuh,et al.  Modeling and control of underwater robotic vehicles , 1990, IEEE Trans. Syst. Man Cybern..