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SMALL SHIP CONTROL METHOD FOR BERTHING BASED ON ACQUIRED MOTION DATA

机译:基于获取的运动数据的Berthing小船舶控制方法

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This paper describes a small ship control method for berthing. It is not easy to construct the ship's motion model in advance because it contains a lot of uncertain factors such as the influence of its shape and environmental disturbances. Therefore, the motion model should be constructed from motion data acquired through experiments online. In this paper, first of all, the method of constructing the ship's motion model is described. After that, the motion planning to reach the target position based on the acquired motion model is described. The ship plans an appropriate motion by the improved genetic algorithm for motion planning at every 500 millisecond. In this paper, we propose a sequence of these approaches and show the effectiveness of them by experiments.
机译:本文介绍了一种用于停泊的小型船舶控制方法。建议船舶运动模型并不容易,因为它包含了很多不确定因素,例如其形状和环境干扰的影响。因此,运动模型应该由通过在线实验获取的运动数据构成。在本文中,首先,描述了构造船舶运动模型的方法。之后,描述基于所获取的运动模型到达目标位置的运动计划。该船计划每500毫秒的动作规划改进的遗传算法适当的运动。在本文中,我们提出了一系列这些方法,并通过实验显示了它们的有效性。

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