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Precession can be demonstrated effectively through a spinning top. If a spinning top is placed on a flat surface near the surface of the Earth at a vertical angle and is not spinning, it will fall over due to the force of gravity producing a torque acting on its center of mass. However, if the top is spinning on its axis, it precesses about the vertical direction, rather than topple over due to this torque. Precessional motion is a combination of a steady circular motion of the axis and the...
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Irrotational flow is characterized by fluid motion where particles do not rotate around their axes, resulting in zero vorticity. For a flow to be irrotational, the curl of the velocity field must be zero. This imposes specific conditions on velocity gradients. For instance, to maintain zero rotation about the z-axis, the gradient condition:
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To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
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相关实验视频

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Eye Tracking During A Complex Aviation Task For Insights Into Information Processing
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适应不可观测性以控制光流的飞行态度

Guido C H E de Croon1, Julien J G Dupeyroux2, Christophe De Wagter2

  • 1Micro Air Vehicle Laboratory, Control and Simulation, Faculty of Aerospace Engineering, Delft University of Technology, Delft, the Netherlands. g.c.h.e.decroon@tudelft.nl.

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概括

飞行昆虫可能不需要重力感来控制姿态. 这项研究表明光流和运动模型如何在机器人中实现稳定的飞行控制,

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科学领域:

  • 机器人技术
  • 生物启发工程
  • 控制系统

背景情况:

  • 飞行机器人通常使用加速度计来估计机态.
  • 飞行昆虫缺乏重力感, 它们的姿态稳定机制还没有完全被理解.
  • 昆虫依赖内部重力估计的态度控制仍然不清楚.

研究的目的:

  • 在没有重力感应的情况下,研究光流与运动模型的态度估计.
  • 分析这种控制系统的稳定性,特别是在不可观察的条件下.
  • 探索昆虫规模机器人中无加速器自动驾驶的潜力,并对昆虫态度控制提出假设.

主要方法:

  • 开发一种从光流中提取态度的控制系统,以及与加速方向相关的运动模型.
  • 分析系统稳定性,包括无法观察的条件.
  • 进行飞行机器人和生物灵感飞翼机器人的实验以验证这一方法.

主要成果:

  • 态度可以从光流和运动模型中提取,即使暂时无法观察.
  • 在飞行机器人中,控制系统表现出稳定的,虽然稍微振荡的态度控制.
  • 机器人的高频振荡可以提高机器人的态度.

结论:

  • 使用光流和运动模型进行态度控制的新方法被介绍,为加速度计提供了潜在的替代方案.
  • 这种方法使机器人能够稳定地飞行,
  • 这些发现支持开发昆虫规模的自主飞行机器人,并为昆虫态度估计和控制提出假设.