Ships stability and safety are always threatened by the unavoidable sway in the complicated situation of the sea, e.g. strong wind and roaring waves. Ensuring the stability of the ship as a difficult task has received its popularities in the community in the past few decades. However, conventional control methods such as sliding mode control (SMC) and Proportional integral derivative (PID) fail to meet the requirements of the accuracy mainly because that the conventional control methods is difficult to control the trajectory tracking precisely and unable to obtain satisfactory control performance. To tackle these issues, we propose an efficient and robust ship stabilization controller based on the Multi-dimensional Taylor Network (MTN). In this paper, for the nonlinear and strong coupling ship model, we simplify the structure by a separation strategy, then design the MTN optimal controller. The simulation results show that the proposed method outperforms the conventional control approaches and can effectively control the rolling of ships.
Multi-dimensional Taylor network optimal control for ship roll stabilization
01.03.2017
318218 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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