4.6 Article

Finite-Time Output Feedback Tracking Control for Autonomous Underwater Vehicles

Journal

IEEE JOURNAL OF OCEANIC ENGINEERING
Volume 40, Issue 3, Pages 727-751

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JOE.2014.2330958

Keywords

Autonomous underwater vehicles (AUVs); finitetime control; finite-time convergent observer; output feedback control; trajectory tracking control

Funding

  1. National Natural Science Foundation of China [61074013, 61174047]
  2. Science Foundation for Distinguished Young Scholars of Jiangsu Province [BK20130018]
  3. Scientific Research Foundation of Graduate School of Southeast University [YBJJ1213]
  4. Graduate Innovation Program of Jiangsu Province, China

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In this paper, the finite-time output feedback trajectory tracking control problem for autonomous underwater vehicles (AUVs) is investigated. The vehicle model is constructed in six degrees of freedom and the vehicle attitude is represented by quaternions to avoid representation singularities. The control design consists of three steps. First, by using the finite-time control technique, two global finite-time stabilizing controllers based on state feedback are proposed for the vehicle translational and rotational tracking error subsystems, respectively. Second, considering the estimation problem of the vehicle translational velocities, a global finite-time convergent observer is employed to reconstruct the information of the vehicle translational velocities. Finally, based on the proposed state feedback controllers and the finite-time convergent observer, a finite-time output feedback trajectory tracking control scheme for AUVs is derived. Global finite-time stability of the closed-loop system is rigorously proved by using Lyapunov theory. Compared with the conventional back-stepping control scheme via output feedback, the proposed finite-time output feedback control scheme offers not only a faster convergence rate but also a higher tracking accuracy for trajectory tracking control of AUVs. Simulations demonstrate the effectiveness of the proposed control scheme.

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