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An Optimized Fuzzy Control Algorithm for Three-Dimensional AUV Path Planning

机译:三维AUV路径规划的优化模糊控制算法

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摘要

Path planning is an important issue for autonomous underwater vehicle (AUV) underwater mission. In this paper, an optimized fuzzy control algorithm is proposed for three-dimensional (3D) AUV path planning. Based on the sonar model, it can be used for path planning in the complex underwater environment. First, the path planning is established based on the two sonars arranged on the horizontal plane and vertical plane. On the environment information collected by sonars, the virtual acceleration and velocity of AUV in the three-dimensional space can be obtained through the fuzzy system with accelerate/break module which enables AUV to avoid dynamic obstacles automatically. Considering the fuzzy boundary choice has great subjectivity, the generated path cannot guarantee to be optimal. Therefore, in order to deal with this problem, two optimized methods are compared to do the optimization of the fuzzy set. Simulation results indicate that the proposed method can generate an optimal 3D path under three-dimensional underwater environment and can be used in real case in the future.
机译:路径规划是自主水下航行器(AUV)水下任务的重要问题。本文提出了一种优化的模糊控制算法,用于三维(3D)AUV路径规划。基于声纳模型,它可用于复杂水下环境中的路径规划。首先,基于布置在水平面和垂直平面上的两个声纳建立路径规划。通过声纳收集到的环境信息,可以通过带有加速/中断模块的模糊系统获得三维空间中AUV的虚拟加速度和速度,从而使AUV自动避开动态障碍物。考虑到模糊边界的选择具有很大的主观性,所产生的路径不能保证是最优的。因此,为了解决这个问题,比较了两种优化方法来进行模糊集的优化。仿真结果表明,该方法能够在水下三维环境下生成最优的3D路径,并在未来的实际应用中得到应用。

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