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Adaptive disturbance rejection for course tracking of marine vessels under actuator constraint
Xin Hu1, Xinjiang Wei2, Jian Han1
1School of Mathematics and Statistics Science, Ludong University, Yantai, Shandong, 264025, PR China.
Abstract:
This paper addresses the problem of adaptive disturbance rejection for the course tracking of marine vessels with unknown motion model parameters including the control coefficient and marine environmental disturbances under actuator constraint. An adaptive disturbance estimator is constructed to obtain disturbance estimations, without the priori information of vessel motion model dynamic parameters. The Nussbaum-gain function is inserted to alleviate the requirement on the control coefficient. A saturation dynamic filter is adopted to address the actuator constraint effect. By the fusion of the command filtered backstepping method, the adaptive disturbance rejection tracking controller is designed. The computational burden is reduced due to command filters to avoid the virtual stabilizing function differentiation. Stability analysis proves the vessel course trajectory tracking and the closed-loop steering stability. Numerical simulations on an unmanned surface vessel validate the adaptive course tracking approach.
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