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3D path planning for AUV using fuzzy logic

机译:使用模糊逻辑的AUV 3D路径规划

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摘要

A novel path planning algorithm based on fuzzy logic for autonomous underwater vehicle (AUV) in 3D unknown space is proposed, in which the 3D path planning problem is decomposed into two independent planning problems in the horizontal and vertical planes respectively. In each plane, obstacle avoidance and goal seeking behaviors are designed to solve the 2D path planning. The outputs of these two behaviors are fused via weight fuzzy logic controller to generate the final motion command. Finally, simulation results demonstrate the effectiveness and feasibility of the method.
机译:提出了一种基于模糊逻辑的3D未知空间自动驾驶水下航行器路径规划算法,将3D路径规划问题分解为水平和垂直两个独立的规划问题。在每架飞机中,都设计了避障和寻求目标的行为来解决2D路径规划问题。这两种行为的输出通过权重模糊逻辑控制器进行融合,以生成最终运动命令。最后,仿真结果证明了该方法的有效性和可行性。

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