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Experimental Evaluation of an Autonomous Surface Craft for Shallow-Water Bathymetry

机译:自主式水面测深技术的试验评估

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Vast coastal water bodies such as mangroves and wetlands, despite their enormous importance, are inaccessible to even the smallest aquatic vehicles, which are not capable of navigating the extremely shallow environments. To understand their behavior and the transport and exchange processes with both sea and land, it is crucial to study local hydrodynamics, which are highly dependent on bathymetric configuration. In order to obtain accurate and high spatial resolution bathymetric samples, an existing small surface vehicle instrumented with GPS and echosounder was implemented with an autopilot system to achieve autonomy. A description of the autonomous system together with the evaluation of the whole vehicle's performance in a natural coastal environment (e.g., affected by the wind, waves, and currents that exist in coastal regions) is presented. The navigation system is based on an autopilot system, which follows a set of user selected waypoints to drive the vehicle through a previously designed path. The trajectory is self-corrected to achieve sufficient accuracy (the limits are also defined by the user) using real-time kinematics. The tracking is performed by two independent proportional-integral-derivative (PID) control systems: the boat's displacement speed and the bearing control. A simple experimental procedure to tune the low-level PID control parameters is presented. Comparisons between the bathymetric maps obtained with the system and with other standard bathymetric surveys from a selected coastal site (ship-towed echosounder) are presented to test both the precision of the boat's navigation and the fine structure of the bottom topography. The results confirm the system's capability as a valuable tool for surveying large and very shallow environments.
机译:尽管红树林和湿地等巨大的沿海水域具有极其重要的意义,但即使是最小的水上交通工具也无法到达,因为这些水上交通工具无法在极浅的环境中航行。要了解它们的行为以及与海洋和陆地的运输和交换过程,研究高度依赖测深配置的局部流体动力学至关重要。为了获得准确和高空间分辨率的测深样品,将现有的装有GPS和echosounder的小型水面载具与自动驾驶仪系统配合使用以实现自治。介绍了自治系统的描述以及对整个车辆在自然沿海环境中(例如,受沿海地区存在的风,浪和流的影响)的性能的评估。导航系统基于自动驾驶系统,该系统遵循一组用户选择的航路点,以通过先前设计的路径驾驶车辆。使用实时运动学,可以对轨迹进行自我校正,以达到足够的精度(极限也由用户定义)。跟踪是通过两个独立的比例积分微分(PID)控制系统执行的:船的排水速度和方位控制。提出了一种用于调试低级PID控制参数的简单实验程序。给出了通过该系统获得的测深图与从选定沿海站点(船拖回波测深仪)获得的其他标准测深图之间的比较,以测试船的航行精度和底部地形的精细结构。结果证实了该系统作为测量大型和非常浅的环境的宝贵工具的能力。

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