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Path planning for an identification mission of an Autonomous Underwater Vehicle in a lemniscate form

机译:延长形式的自治水下车辆识别任务的路径规划

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This paper describes the algorithms for guidance and control of an Autonomous Underwater Vehicle (AUV) for a specific identification mission. The goal is to traverse several times an object of interest on the sea floor in a given geometric path in order to maximize the amount of information that can be obtained using the optical and acoustical sensors. Existing ocean currents that can be estimated using a Doppler Velocity Log (DVL) have to be considered when planning the path. We will describe the overall mission scenario and suggest a possible solution, based on an adequate planning of the path in form of a lemniscate and use the "chase the rabbit" approach for path following. This approach yields stable mission execution even in the presence of a considerable ocean current. The approach is validated with a state-of-the-art AUV using live tests in a special lake that contains a current.
机译:本文介绍了用于特定识别任务的自主水下车辆(AUV)的引导和控制算法。目标是在给定的几何路径中遍历海底上的兴趣对象,以最大化使用光学和声学传感器可以获得的信息量。在规划路径时,必须考虑可以使用多普勒速度日志(DVL)估计的现有海洋电流。我们将描述整体使命场景,并提出了一种可能的解决方案,基于延迟的形式的路径的适当规划,并使用“追逐兔子”方法进行路径。即使在存在相当大的海洋电流的情况下,这种方法也能产生稳定的任务执行。使用现场测试使用包含当前的特殊湖泊的现场测试验证了该方法。

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