The bio-inspired model based hybrid sliding-mode tracking control for unmanned underwater vehicles

Authors:
Daqi Zhu;Bing Sun
Affiliations:
-;-
Venue:
Engineering Applications of Artificial Intelligence
Year:
2013

Citing 6
Cited 0

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Abstract

In this paper a novel hybrid control strategy is developed for trajectory tracking control of unmanned underwater vehicle (UUV). The proposed hybrid control strategy consists of two subsystems: a virtual velocity controller and a sliding-mode controller. The tracking errors are shown to asymptotically converge to zero by Lyapunov stability theory using the new approach, whereas in the traditional backstepping method, speed jump occurs if the tracking error changes suddenly. The biologically inspired model is designed to smooth the virtual velocity controller output, avoid speed jumps of underwater vehicles and satisfy the thruster control constraint. The effectiveness and efficiency of the proposed control strategy are demonstrated through simulations and comparison studies.