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Mechanism of dynamic automatic collision avoidance and the optimal route in multi-ship encounter situations

机译:多船遇到情况下动态自动碰撞避免机制及最优路径

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Autonomous navigation on the open sea involving automatic collision avoidance and route planning helps to ensure navigational safety. To judge whether all target ships (TSs) will pass safely and find the optimal route under multi-ship encounter situations, the relationship between the variations in the own ship (OS) velocity vector after nonlinear course altering motion and the collision avoidance result, which is defined as the collision avoidance mechanism, was analyzed. Methods producing the optimal route were also proposed. First, the static collision avoidance mechanism based on the ship domain and velocity obstacle (VO) was introduced. On that basis, the collision-free course alteration range of the OS, without consideration of the real manoeuvring process, was presented. Second, the ship motion equations and fuzzy adaptive proportion integral derivative (PID) control method were combined to develop a course control system. This system was then used to predict OS motions during the course-altering process. Based on this prediction, TS positions were calculated. Subsequently, the dynamic collision-free course altering ranges for the OS were obtained. Third, a model to compute the optimal route was introduced. Finally, simulations were performed under a situation including six TSs and two static objects, and the shortest collision-free route that satisfies both regulations for preventing collisions and good seamanship was found.
机译:涉及自动碰撞避免和路线规划的公海自主导航有助于确保导航安全。要判断所有目标船舶(TSS)是否安全地通过并在多船遇到情况下找到最佳路线,因此在非线性课程改变运动后自身船舶(OS)速度向量之间的变化与碰撞避免结果之间的关系被定义为碰撞避免机制,分析了。还提出了产生最佳路线的方法。首先,介绍了基于船域和速度障碍物(VO)的静电碰撞避免机构。在此基础上,展示了无需考虑实际机动过程的操作系统的无碰撞过程的变化范围。其次,组合船舶运动方程和模糊自适应比例积分衍生物(PID)控制方法以开发课程控制系统。然后使用该系统在课程改变过程中预测OS运动。基于该预测,计算TS位置。随后,获得了操作系统的动态碰撞过程改变范围。第三,介绍了计算最佳路线的模型。最后,在包括六个TS和两个静态物体的情况下进行模拟,并且发现了满足防止碰撞和良好方面的条例的最短碰撞路线。

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