Application-oriented adaptive fuzzy design of ship's autopilot with rudder dynamics

Liu, Cheng; Li, Tieshan; Chen, Naxin; Bu, Renxiang

doi:10.1109/icicip.2010.5564234

Cited by 4 publications

(1 citation statement)

References 7 publications

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“…Recently, in order to overcome this drawback, in [3] the adaptive fuzzy logic control emerged to compensate the ship steering problems with uncertain ship dynamics. Due to the strong approximating ability, fuzzy logic system was used to approximate the unknown nonlinear uncertainties and promoted the development of ship motion control.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Design for Ship Heading Control Using ACFB for e-Navigation

Park

Hong

et al. 2017

IJFIS

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In this paper, a fuzzy robust design for ship heading control using ACFB (adaptive command filtered backstepping) is proposed considering the input saturation constraints and external disturbances for e-Navigation. This novel adaptive controller is constructed for the underactuated surface ship with rudder dynamics control system based on the Lyapunov stability theory, and this control algorithm guarantees the stability of the closed-loop system. T-S fuzzy logic system is employed to approximate nonlinear uncertainty in the control system. The proposed algorithm is developed by combining command filter and minimal learning parameter (MLP) techniques to compensate the control error. The substantial problems of "explosion of complexity" and "dimension curse" existed in the conventional adaptive backstepping technique are circumvented. It is convenient to implement for the e-Navigation application. Moreover, in order to deal with the effect of input saturation constraints, an auxiliary system is developed. Finally, the MATLAB simulation results of a case study of Ship YULONG are given to demonstrate the effectiveness and robustness of the proposed scheme.

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Section: Introductionmentioning

confidence: 99%