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Path planning for autonomous underwater vehicle based on artificial potential field and velocity synthesis

机译:基于人工势场和速度综合的自主水下航行器路径规划

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Because the impact of ocean current on Autonomous Underwater Vehicle (AUV) navigation is greater than the impact of wind on ground mobile robot, there is the essential difference between underwater environment and ground environment. Ocean current and obstacles must be considered for AUV path planning in underwater environment. In this paper, a novel kind of AUV path planning algorithm is proposed by combining the velocity synthesis algorithm and artificial potential field method. Firstly, the improved artificial potential field method is used to avoid obstacles effectively. Then according to the characteristics of AUV navigation, the velocity synthesis algorithm is used to achieve the optimal path. Finally, the problem of path planning for AUV in ocean current environment with obstacles is solved. Simulation result shows that the proposed algorithm is effective.
机译:由于洋流对自主水下航行器(AUV)导航的影响大于风对地面移动机器人的影响,因此水下环境与地面环境之间存在本质的区别。在水下环境中进行AUV路径规划时,必须考虑洋流和障碍物。结合速度合成算法和人工势场法,提出了一种新型的AUV路径规划算法。首先,采用改进的人工势场法有效地避开障碍物。然后根据水下航行器导航的特点,采用速度综合算法获得最优路径。最后,解决了有障碍物的洋流环境中AUV的路径规划问题。仿真结果表明,该算法是有效的。

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