Typically, a Dynamic Positioning System (DPS) uses a PID feed-back system, and it often adopts a wind feed-forward system because of its easier implementation than a feed-forward system based on current or wave. But, because a ship’s drifting motion is caused by wind, current, and wave drift loads, all three environmental loads should be considered. In this study, a motion predictive control for the PID feed-back system of the DPS is proposed, which considers the three environmental loads by utilizing predicted drifted ship positions in the future since it contains information about the three environmental loads from the moment to the future. The prediction accuracy for the future drifted ship position is ensured by adopting deep learning algorithms and a replay buffer. Finally, it is shown that the proposed motion predictive system results in better station-keeping performance than the wind feed-forward system.

通常，动态定位系统（DPS）使用PID反馈系统，并且由于它比基于电流或波浪的前馈系统更易于实现，因此经常采用风前馈系统。但是，由于船舶的漂移运动是由风，电流和波浪漂移载荷引起的，因此应考虑所有三个环境载荷。在这项研究中，提出了一种用于DPS的PID反馈系统的运动预测控制，该控制系统通过利用预测的未来漂移船舶位置来考虑这三个环境负荷，因为它包含了从时刻到到达的三个环境负荷的信息。未来。通过使用深度学习算法和重播缓冲区，可以确保对未来漂移的船舶位置的预测准确性。最后，