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首页> 外文期刊>Internet of Things Journal, IEEE >A Cooperative-Control-Based Underwater Target Escorting Mechanism With Multiple Autonomous Underwater Vehicles for Underwater Internet of Things
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A Cooperative-Control-Based Underwater Target Escorting Mechanism With Multiple Autonomous Underwater Vehicles for Underwater Internet of Things

机译:基于合作控制的水下目标护送机制,具有多个自治水下车辆的水下互联网

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摘要

Escorting a moving object in a subsea environment with cooperative autonomous underwater vehicles (AUVs) is a typical subject in Underwater Internet of Things (UIoT) applications. It involves two issues that should be studied. First, a mobile task assignment method is required to lead the AUVs to the escorting positions; then, a formation control scheme should be utilized to safely escort the moving object to the destination. Accordingly, in this article, a comprehensive target escorting mechanism called the cooperative-control-based underwater target estimating mechanism (CUTE) is proposed, which includes a belief-function-method-based self-organizing map algorithm for task assignment and an artificial potential field-based formation control method. The task assignment method aims to establish smooth routes from the AUVs to the escort position while flexibly avoiding obstacles, and the formation control method aims to improve the monitoring coverage on the escort route by rotating the formation structure while following the moving object. Simulations show that the proposed CUTE method may be very practical in underwater target escorting scenarios.
机译:在具有合作自治水下车辆(AUV)的海底环境中护送移动物体是水下内容(UIOT)应用中的典型主题。它涉及应该研究的两个问题。首先,需要移动任务分配方法来引导AUV到护送位置;然后,应利用形成控制方案来安全地将移动对象护送到目的地。因此,在本文中,提出了一种称为基于协作控制的水下目标估计机制(可爱)的综合目标护送机制,其包括用于任务分配的信仰功能 - 方法的自组织地图算法和人工潜力基于现场的形成控制方法。任务分配方法旨在将来自AUV的平滑路线与护送位置的灵活避免障碍物建立到护送位置,并且形成控制方法旨在通过在跟随移动物体之后通过旋转形成结构来改善护送路线上的监测覆盖范围。模拟表明,在水下的目标护送场景中,拟议的可爱方法可能非常实用。

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