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Buoyancy and Stability for Submerged and Floating Bodies01:11

Buoyancy and Stability for Submerged and Floating Bodies

In fluid mechanics, buoyancy and stability are key concepts for understanding the behavior of submerged and floating bodies. When a stationary body is fully or partially submerged in a fluid, the fluid exerts a force on the body known as the buoyant force. This force acts vertically upward through a point called the center of buoyancy, which is the center of the displaced fluid volume. According to Archimedes' principle, the magnitude of the buoyant force is equal to the weight of the fluid...
Uniform Depth Channel Flow01:27

Uniform Depth Channel Flow

Uniform depth channel flow keeps fluid depth consistent along channels such as irrigation canals. In natural channels, such as rivers, approximate uniform flow is often assumed. This condition occurs when the channel’s bottom slope matches the energy slope, balancing potential energy lost from gravity with head loss due to shear stress. This balance prevents depth changes along the channel length, resulting in a steady, uniform flow.Uniform flow in open channels with a constant cross-section...

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相关实验视频

Updated: May 10, 2026

Quantitatively Measuring In situ Flows using a Self-Contained Underwater Velocimetry Apparatus SCUVA
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自主海底覆盖与受限输入自主水下车辆:综合路径规划和控制

Athanasios K Gkesoulis1,2, Panagiotis Georgakis1,2, George C Karras2,3

  • 1Department of Electrical and Computer Engineering, University of Patras, 26504 Patras, Greece.

Sensors (Basel, Switzerland)
|February 26, 2025
PubMed
概括

本研究提出了一个自主水下车辆 (AUV) 的综合框架,以实现高效的海底覆盖. 该系统结合了最佳路径规划和可靠的水下操作的强大控制,包括碎片检测.

关键词:
蓝色ROV2是什么蓝色ROV2塔楼 塔楼 塔楼 塔楼这就是ROSOS ROS.自主水下车辆自主水下车辆覆盖路径规划 覆盖路径规划输入和度输入和度强大的控制和强大的控制.水下机器人水下机器人

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相关实验视频

Last Updated: May 10, 2026

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科学领域:

  • 机器人技术 机器人技术 机器人技术
  • 海洋工程 海洋工程
  • 控制系统 控制系统

背景情况:

  • 自主水下车辆 (AUV) 需要复杂的路径规划和控制,以便在具有挑战性的环境中有效覆盖海底.
  • 现实世界的运营面临障碍,干扰和物理限制,需要综合解决方案.

研究的目的:

  • 为AUV开发和验证一个完全集成的框架,将最佳覆盖路径规划与强大的受约束控制相结合.
  • 通过改进的导航和控制,增强AUV能力,用于诸如水下碎片检测等任务.

主要方法:

  • 实施了最佳覆盖路径规划算法,使用先验区域信息来实现最大覆盖,最小转和避开障碍.
  • 采用参考修改技术,在输入约束下进行可靠的途径点跟踪.
  • 在 BlueROV2 平台上使用 ROS,Gazebo 和 ArduSub Software-in-the-Loop (SITL) 验证了集成框架.

主要成果:

  • 在综合框架内证明了路径规划和控制策略之间的协同效应.
  • 通过高准确度模拟验证了框架的有效性和准备能力,以便通过高准确度模拟对实际的海底作战进行准备.

结论:

  • 综合路径规划和控制框架显著提高了AUV在海底覆盖任务的性能.
  • 开发的系统是强大的,适合于现实世界的应用,如水下碎片检测.