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Optimal path planning based on A* algorithm for submarine mining vehicle

机译:基于A *潜艇挖掘车辆算法的最优路径规划

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摘要

Deep sea mining, as a frontier area in China, urgently needs to make progress in automatic navigation technology. In order to improve the operation efficiency of the seabed mining machine on the soft seabed, the submarine mining vehicle which complete the mining work in a certain mining area need to enter the next mining area quickly and economically. As a classical algorithm, the majority of scholars consider that A * algorithm is the most practical path planning search algorithm. Considering the limitation of operation conditions, the three-dimensional diagram is transformed into two-dimensional diagram by interpolation method when the seabed terrain conditions allow, and then the obstacles can be marked in two-dimensional diagram. A* algorithm was applied into the path planning of mining truck. The simulation results of the paper show that path cost, turning time and turning mode should be considered in the process of avoiding obstacles.
机译:深海矿业,作为中国的边界地区,迫切需要在自动导航技术方面取得进展。为了提高海底采矿机在软海床上的运营效率,在某个采矿区完成采矿工作的潜艇采矿车需要快速和经济地进入下一个矿区。作为一种经典算法,大多数学者认为a *算法是最实用的路径规划搜索算法。考虑到操作条件的限制,当海底地形条件允许时,通过插值方法将三维图转换为二维图,然后在二维图中可以标记障碍物。 A *算法应用于采矿卡车路径规划。纸张的仿真结果表明,应在避免障碍的过程中考虑路径成本,转向时间和转向模式。

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